115 Prompt Engineering Jobs - Page 2

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Wexa AI is looking for Implementation Engineer Interns to help onboard clients and deploy AI co worker tools. A great opportunity to work in real client environments and gain product knowledge. RESPONSIBILITIES AND DUTIES Assist in AI coworker setup and configuration for new clients Work closely with Sales & Product teams to understand client needs Provide technical support during onboarding Document and optimize implementation workflows QUALIFICATIONS REQUIREMENTS Final-year student or recent graduate in Engineering/Tech Basic understanding of APIs, SaaS platforms, or automation tools Strong problem-solving and documentation skills Interest in AI/ML and SaaS product environments

About the job: Key responsibilities: 1. AI Model Development & Integration: Design, implement, and optimize generative AI solutions using various LLMs and foundation models, making strategic decisions on model selection based on use case requirements 2. Advanced Prompt Engineering: Craft sophisticated system prompts and implement complex prompting techniques for optimal model performance across different domains and applications 3. Production AI Applications: Build scalable, production-ready AI applications using LangChain, LangGraph, and Mem0 frameworks with proper error handling and performance optimization 4. Complex Context Management: Develop and maintain advanced conversation flows with persistent context across multi-turn interactions, implementing memory systems and session management 5. Infrastructure & Orchestration: Deploy AI applications using Docker containerization and orchestration platforms, ensuring scalability and reliability in production environments 6. AI Safety & Guardrails: Implement comprehensive guardrails including content filtering, bias detection, response validation, and safety measures for responsible AI deployment 7. System Architecture: Design and implement robust AI system architectures, including API development, database integration, and microservices patterns 8. Performance Optimization: Monitor, debug, and optimize AI system performance, latency, cost efficiency, and resource utilization 9. Model Fine-tuning & Customization: Work on model adaptation, fine-tuning, and customization techniques to meet specific business requirements Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,50,000 - 3,00,000 /year Experience: 1 year(s) Deadline: 2025-07-16 23:59:59 Skills required: Python, Docker, Database Management System (DBMS), APIs, Generative AI Development, LangChain, Prompt Engineering and Memcached Other Requirements: Technical Skills: 1. Advanced Python: Solid foundation in Python. 2. Multi-Model Expertise: Deep hands-on experience with various LLMs (GPT-4, Claude, Llama, Gemini, Mistral) and comprehensive understanding of their capabilities, limitations, and optimal use cases 3. Framework Mastery: Proven experience building production applications with LangChain, LangGraph, and Mem0 frameworks 4. Advanced Prompt Engineering: Expert-level ability to write, optimize, and debug complex system prompts and conversation flows 5. Docker & Orchestration: Strong containerization skills with experience in Docker, or similar orchestration platforms. 6. Production AI Systems: Experience deploying and maintaining AI applications in production environments Professional Experience: 1. GenAI Development: Hands-on experience in generative AI application development 2. Context Management: Proven track record of implementing complex conversation flows and memory systems 3. Guardrails Implementation: Experience implementing AI safety measures, content filtering, and bias detection systems 4. System Architecture: Experience designing scalable AI system architectures and microservices Project Portfolio: 1. Demonstrable GenAI projects with real-world applications 2. Experience with model fine-tuning, RAG systems, or AI agent development 3. Open source contributions or published work in AI/ML domain 4. Production deployments of AI applications with measurable impact About Company: At HD, we're a diverse team of passionate experts offering comprehensive digital solutions. Our commitment to authenticity, innovation, and user-friendliness ensures success in web development, AI/ML, data analytics, backend, and database management. Through collaboration and transparency, we transform visions into exceptional digital realities, empowering clients to succeed. Explore our talented team, insightful blog, and impressive portfolio, and start your exceptional digital journey with us today.

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GenAI + Full-Stack Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). 3-8 years of strong hands-on experience in software development, with a focus on AI/ML and Generative AI Hands-on with Generative AI technologies with at least one of the following experiences: Working with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc. Building intelligent systems using LangGraph, Agentic AI frameworks, or similar orchestration tools Implementing Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge augmentation techniques Proficiency in Python, including experience with data processing, API integration, and automation scripting Demonstrated experience in end-to-end SDLC (Software Development Life Cycle): requirement gathering, design, development, testing, deployment, and support Proficient in CI/CD pipelines and version control systems like Git Experience with containerization technologies such as Docker, and orchestration using Kubernetes Strong problem-solving and debugging skills, with an ability to write clean, efficient, and maintainable code Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and business teams About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Key Responsibilities: Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division. Required Competencies: Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude). Programming Languages: Proficiency in Python, Java, or other relevant programming languages. Data Analysis: Strong analytical skills and experience with data analysis tools. Problem-Solving: Excellent problem-solving abilities and attention to detail. Communication: Strong verbal and written communication skills. Preferred Competencies: Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights. Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. Master s or Ph.D. in Computer Science, Data Science, or a related field. Years of experience: 3-5

About the job: As a Full Stack GenAI Developer at MeetMinutes, you will be responsible for creating cutting-edge AI solutions using Python, Generative AI Development, LangChain, LLM evaluation, LLMOps, JavaScript, React, Amazon Web Services (AWS), Google Cloud Platforms (GCP), Docker, Machine Learning, Natural Language Processing (NLP), PostgreSQL, REST API, FastAPI, GitHub, System Design, and Prompt Engineering. Key responsibilities: 1. Developing and implementing AI algorithms and models to enhance the functionality of our platform. 2. Integrating AI technologies and features into our existing systems to improve user experience. 3. Collaborating with the engineering team to optimize system performance and scalability. 4. Building and maintaining RESTful APIs for seamless communication between different components. 5. Monitoring and troubleshooting any issues related to AI functionality and recommending solutions. 6. Contributing to the overall architecture and design of our AI-driven products. 7. Staying updated on the latest trends and advancements in AI and actively participating in knowledge sharing within the team. If you are passionate about using AI to revolutionize meeting productivity and collaboration, and have a strong background in full-stack development and AI technologies, we'd love to have you join our team! Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 6,50,000 /year Experience: 1 year(s) Deadline: 2025-07-13 23:59:59 Other perks: 5 days a week Skills required: JavaScript, Python, Machine Learning, PostgreSQL, Docker, GitHub, React, REST API, Amazon Web Services (AWS), Natural Language Processing (NLP), Google Cloud Platforms (GCP), FastAPI, Generative AI Development, LangChain, Prompt Engineering, System Design, LLMOps and LLM evaluation About Company: A platform for the future of AI meeting productivity. It is a tool for professionals having conversations in mixed Indian languages and need workflow automations. It has support for Google Meet, MS Teams, and many more meeting platforms. It is a startup recognized by the Ministry of IT and won several accolades working with businesses, IT firms, agencies, listed companies, and SMBs.

As the Engineering manager, you will be managing the roadmap priorities for AI/MLSolution andwill bepoint of contactfor all technical issues and decisions, while managing stakeholders and partners across the organization. Provide technical leadership manage a high-performing engineering team to build and scale our next generationAI Solutions. Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of allfacetsof AI Products Design, Build,optimize, fine-tune Generative AI/LLM models/AI Solutions that can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in production to support variousPaypalAI Personalization initiatives Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Collaborate with cross-functional teams including product managers, data scientists, and software engineers and stakeholders to define platform requirements and priorities. Develop and evolve engineering processes and collaboration models tooptimizeteam efficiency and collaboration Mentor team members,providetechnical guidance, and foster a culture of collaboration, innovation, and continuous learning. Stay up to date with the latest advancements in AI/ML technology and industry trends andleveragethis knowledge to enhance the platforms capabilities What Do You NeedtoBring Qualifications Proven experience in leading or managing machine learning/AI teams, witha track recordof building successful AI solutions and productizing ML Models, Features Stores Solidtrack recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products. Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience. Experience developing Gen AI applications/services usingPrompt Engineering, LLMs, and fine-tuning methodsfor sophisticated business use caseswithlarge amountsof unstructured data. Strong background in deep learning techniques, particularly in NLP and Vision Proficiencyin multiple Programming/scripting languages,i.e.Python, Java, Scala,SQL, NoSQL (like HBase, Redis, Aerospike) Strongproficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expertisein buildingMLpipelines with Big Data technologies such as Hadoop, Spark, HBase, Kafka. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Strong background in MLOps and experimentation frameworks Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Title: Gen AI Integration Developer Key Responsibilities As a Gen AI Integration Developer, you will: Gen AI Orchestration & Integration: Implement and integrate Generative AI solutions. This includes extensive experience in data analytics or a senior developer role with a modern technology stack. LLM Integration: Gain hands-on exposure to integrating at least one popular Large Language Model (LLM) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, or Cohere, using API endpoints. Prompt Engineering & Agents: Apply a thorough understanding of prompt engineering principles and implement LLM agents like LangChain. Vector Databases: Work with vector databases such as Pinecone, Chroma, or FAISS. API Development: Build API-based scalable solutions and possess strong debugging and troubleshooting skills for software and design issues. Data Engineering: Perform basic data engineering tasks, including loading structured and unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support AI Solutions. Experimentation & Analysis: Quickly conduct experiments and analyze the features and capabilities of newer versions of LLM models as they become available. Collaboration: Work closely with Gen AI leads and other team members to address requirements from the product backlog. Mandatory Skills & Experience Technical Proficiency: Programming Languages: Excellent programming skills and proficiency in at least one major programming/scripting language used in Gen AI orchestration, such as Python, PySpark, or Java . LLM Integration: Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints. Prompt Engineering: Thorough understanding of prompt engineering . LLM Agents: Implementation exposure to LLM agents like LangChain . Vector Databases: Experience with vector databases such as Pinecone, Chroma, or FAISS. API Development: Ability to build API-based scalable solutions . Debugging & Troubleshooting: Strong ability to debug and troubleshoot software or design issues. Basic Data Engineering: Skills to load structured & unstructured data from source systems to target data stores. Experience & Qualifications: Extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks. Ability to quickly conduct experiments and analyze new LLM features. Experience in building and maintaining data pipelines and infrastructure for AI solutions. Essential Professional Skills Desirable: Hands-on exposure to using cloud services (Azure/GCP/AWS) for storage, serverless-logic, search, transcription, and chat. Extensive experience with data engineering and ETL tools is a big plus. Master's/Bachelor's degree in Computer Science, Statistics, or Mathematics.

Design, develop, and maintain Conversational AI models including Chat BOTs. Develop robust unit and integration tests using testing frameworks/ manual to guarantee code quality and application stability. Expertly debug and troubleshoot complex application issues. Integrate Gen AI capabilities to enhance the product efficiency and effectiveness. Proven experience building Conversational AI models / Chat BOTs using Kore.ai platform. In depth understanding of Gen AI capabilities Proficiency in unit testing frameworks. Experience in Data Analytics and Python Exceptional problem solving and debugging skills. Excellent communication and collaboration skills. Experience in Agile Scrum practice. Experience in JIRA and Confluence Ability to work independently and manage multiple tasks effectively while contributing to a team environment.

We are seeking a talented Java backend Software Engineer with expertise in software engineering to join our team. As a Full Stack Software Engineer, your primary responsibility will be to develop & integrate Generative AI solutions that focus on technology improvements. Specifically, you will be working on projects involving Generative AI solutions for Technology Assistants & Data Management Efficiencies and will contribute for Java backend development such as IDE plugins Data Connections & Integrators. Responsibilities : - Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI. - Write clean, high-performance, high-quality, maintainable code. - Create connectors to various Content and Collaboration tools using tool specific API's such as Jira, Slack, Git etc - Create backend applications using Java, docker & in-house frameworks to orchestrate AI applications - Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. - Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. - Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Requirements: - A Master's or Ph.D. degree in Computer Science or a related field. - Proven experience working as a Software Engineer, with a focus on Java, and exposure to Generative AI Applications such as chatGPT. - Strong proficiency in programming languages such as Java, Kotlin, Scala etc ( Mandatory) - Experience or Exposure in creating IDE Plugins for PyCharm, VS Code, IntelliJ & Web Consoles ( Nice to have ) - Experience in python and data pipelines ( nice to have) - Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. - Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have ) - Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders. - Proven ability to adapt and learn new technologies and frameworks quickly. - A proactive mindset with a passion for continuous learning and research. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Position Overview We are hiring five AI Engineers with 12 years of experience to join our dynamic team in Hyderabad. The ideal candidates will have a solid foundation in Large Language Models (LLMs) , LangChain , and Generative AI (GenAI) frameworks. This is a great opportunity to work on innovative AI solutions, contributing to projects that integrate LLMs , prompt engineering , RAG pipelines , and cloud-based deployments . Key Responsibilities Contribute to the design and development of AI-powered applications utilizing LLMs (GPT-3.5, GPT-4, Gemini). Assist in building LangChain-based pipelines and workflows, including LangSmith and LangGraph . Support the implementation of Retrieval-Augmented Generation (RAG) frameworks using vector databases such as ChromaDB . Apply prompt engineering techniques to optimize model responses and improve contextual accuracy. Develop RESTful APIs using Flask or FastAPI to enable model consumption in production environments. Write and manage data workflows using SQL , PySpark , and Spark SQL . Deploy and monitor models on Azure Machine Learning or AWS Bedrock platforms. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Required Skills Proficiency in Python , SQL , PySpark , and Spark SQL Hands-on experience with LLMs : GPT-3.5, GPT-4, Gemini Knowledge of LangChain , LangSmith , LangGraph Familiarity with Vector Databases (e.g., ChromaDB) and embeddings Experience with prompt engineering and RAG-based architectures Exposure to cloud platforms such as Azure ML or AWS Bedrock Strong understanding of REST APIs and version control systems (Git/GitHub) Preferred Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Internship or academic project experience in NLP, LLMs, or GenAI technologies Familiarity with MLOps tools and practices (e.g., CI/CD, Airflow) Strong problem-solving abilities, attention to detail, and a collaborative mindset

Technical Skills & Experience: Programming Skills: Proficiency in Python, capable of developing AI-driven test scripts. Test Automation: Solid experience in test automation practices. Model Evaluation: Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. Evaluation Frameworks: Skilled in designing evaluation frameworks to assess AI model performance, accuracy, bias, and safety. Familiarity with open-source evaluation tools such as DeepEval and similar frameworks. Prompt Engineering & Metrics: Knowledge of prompt engineering and LLM evaluation metrics like perplexity, BLEU, ROUGE, and human evaluation techniques. RAG System Testing: Experience in testing RAG systems, including retrieval quality assessment and hallucination detection. Computer Vision Testing: Familiarity with vision model testing methodologies and image processing evaluation. CI/CD Integration: Working knowledge of Continuous Integration/Continuous Deployment (CI/CD) tools like GitLab, Jenkins, or Azure DevOps. Preferred Qualifications Evaluation Framework Proficiency: Hands-on experience with at least one open-source AI evaluation framework, such as DeepEval, is essential. Vector Databases & Embedding Evaluation: Familiarity with vector databases like FAISS or Milvus, and experience in evaluating embedding models for tasks such as similarity search and retrieval. Multimodal AI Systems: Understanding of AI systems that process multiple data modalities (e.g., text, images) and the unique challenges involved in their evaluation. Human-in-the-Loop Evaluation: Experience incorporating human feedback into AI evaluation processes to enhance model performance and reliability Perks and benefits Best of Technology Flexible Working Hours Rewards and Recognition Medical Insurance Round the Clock Snacks Paid Time-Off and Vacation

Key Responsibilities: As an Infra AI Automation Programmer you will work on design development and deployment of AI systems that generate content or data often using techniques such as deep learning neural networks and generative models using Python backend coding Meet with clients in and remotely to understand their business objectives challenges and identify potential use cases for Generative AI Assess the client s existing technology infrastructure data landscape and AI maturity to determine the feasibility and best approaches for Gen AI adoption Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions e g content creation customer service product development marketing Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases implementation plans and expected business outcomes Design Gen AI solutions architecture considering factors such as model selection e g large language models LLMs diffusion models data requirements integration with existing systems and scalability Evaluate and recommend appropriate Gen AI platforms tools and APIs e g OpenAI Google AI Azure AI open source libraries relevant to the client s needs and the Indian market Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications Technical Requirements: At least 2 years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow Pytorch Langchain and Prompt Engineering Experience with vector databases and retrieval augmented generation RAG Familiarity with MLOps principles and tools for deploying and managing Gen AI models Understanding of ethical considerations and responsible AI frameworks Understanding of data structures data modelling SQL NOSQL Object oriented and functional programming GIT Knowledge of basic algorithms and object oriented and functional design principles Deep Knowledge of Mathematics Probability Statistics and Algorithms Good Communication skills Good analytical and problem solving skills Additional Responsibilities: Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile These include High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Preferred Skills: Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Generative AI

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

AI Engineer & Lead This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful. Exp: 3-8 Years Location: Chennai & Hyderabad Organization: Intellect Design Arena - Product Company ------------------------------------------------------------------------------------------------------------- About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellects revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. Summary: As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation. You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI. Key Responsibilities: Deliver Production-Ready AI Solutions: Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications. Solve Real Business Problems: Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches. Collaborate Across Teams: Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution. Adapt in Dynamic Environments: Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback. Drive Innovation and Growth: Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field. Client Interaction and Strategy Development: Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions. Deploying Solutions to Production: Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems. Iterating and Improving: Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation. Contributing to Platform Evolution: Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs. Key Traits: Technical Proficiency: Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments. Problem-Solver: Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes Collaborative: Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms. Adaptable: Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback. Innovative and Entrepreneurial: Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth. Client-Focused: Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives. Detail-Oriented: Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings. Continuous Learner: Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge. Skills and Qualifications: Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies. Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition. Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning. Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar. Interested folks can reach out to bicky.nath@intellectdesign.com

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

Job Description The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and writing unit tests. Extensive knowledge of NoSQL DB, with significant experience in Microsoft Azure, particularly Cosmos DB NoSQL . Comprehensive understanding of LLM prompt engineering . Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Strong knowledge of Azure AI Services (Indexes, Vectors, Cognitive search etc.) and Azure Open AI Full-stack development capabilities, including front-end UI/UX development using React . Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with NoSQL Databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups Required Education Bachelor's degree in computer science, Information Technology, or a related field.

Python Developer Experience: 3 - 5 Years Exp Salary: INR 5-20 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Django, FastAPI, Prompt engineering, Apache Airflow, Prefect, Mongo DB Infrrd (One of Uplers' Clients) is Looking for: Python Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Hello there! Infrrd here. Havent heard of us before? No problem. First off, its pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, weve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much more. We are building technology that is disrupting the data extraction space for 5+ years now. And now, we are on the lookout for a motivated Python Developer to join our Engineering team. In this role, you will help us to build our product in an efficient and solid way. As a Python Developer at Infrrd, your job responsibilities will include: Create python scripts and services. Document inside code and designs. Ensure the deliverables are of the highest quality in terms of functional and technical aspects. Ensure the in sprint defects are closed with the highest quality and any production defects are being taken care of for a specific duration post release. Work along with the PM, Architect and the BA to manage the deliverables from technical and functional aspects Work along with DevOps, and other teams to fulfill roles and see the big picture. Carry out regular code reviews, enforce coding best practices, source control, and deliverables Below is a list of the background we would like our Python Developer to have: 3 -5 years of expertise in Python 3 software engineering skills Experience building systems that interact with REST APIs or depend on web frameworks like Flask (preferred) or Django. Python Language Proficiency: Strong understanding of Python syntax and libraries like Pandas. Design, Develop, test, and maintain high-quality software using Python programming language. Experience with MongoDB Strong object-oriented design and programming skills Experience with SQL and NoSQL databases. Proficiency with Git. Nice to Have: Familiarity with Linux. Experience with microservices and architectural design. Experience with Python testing frameworks (unit test, pytest). Knowledge of using OpenAPI specifications for designing REST Endpoints. Experience working with message brokers (RabbitMQ, Redis) Experience in deploying machine learning models in production environments and made them accessible through APIs. Experience with DevOps processes along with Kubernetes and container ecosystem is an advantage. Experience working with AWS services or other cloud services. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. That is when we will make a great team together, right? How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Infrrd, we help businesses handle messy, unstructured documents. Our AI-powered platform extracts, organizes, and automates data processingso you dont have to. From invoices and contracts to engineering drawings and handwritten notes, we handle the complex stuff that traditional OCR and automation tools can't. Our technology learns from real-world data, making it faster, more accurate, and more intelligent over time. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Python Developer Experience: 3 - 5 Years Exp Salary: INR 5-20 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Django, FastAPI, Prompt engineering, Apache Airflow, Prefect, Mongo DB Infrrd (One of Uplers' Clients) is Looking for: Python Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Hello there! Infrrd here. Havent heard of us before? No problem. First off, its pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, weve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much more. We are building technology that is disrupting the data extraction space for 5+ years now. And now, we are on the lookout for a motivated Python Developer to join our Engineering team. In this role, you will help us to build our product in an efficient and solid way. As a Python Developer at Infrrd, your job responsibilities will include: Create python scripts and services. Document inside code and designs. Ensure the deliverables are of the highest quality in terms of functional and technical aspects. Ensure the in sprint defects are closed with the highest quality and any production defects are being taken care of for a specific duration post release. Work along with the PM, Architect and the BA to manage the deliverables from technical and functional aspects Work along with DevOps, and other teams to fulfill roles and see the big picture. Carry out regular code reviews, enforce coding best practices, source control, and deliverables Below is a list of the background we would like our Python Developer to have: 3 -5 years of expertise in Python 3 software engineering skills Experience building systems that interact with REST APIs or depend on web frameworks like Flask (preferred) or Django. Python Language Proficiency: Strong understanding of Python syntax and libraries like Pandas. Design, Develop, test, and maintain high-quality software using Python programming language. Experience with MongoDB Strong object-oriented design and programming skills Experience with SQL and NoSQL databases. Proficiency with Git. Nice to Have: Familiarity with Linux. Experience with microservices and architectural design. Experience with Python testing frameworks (unit test, pytest). Knowledge of using OpenAPI specifications for designing REST Endpoints. Experience working with message brokers (RabbitMQ, Redis) Experience in deploying machine learning models in production environments and made them accessible through APIs. Experience with DevOps processes along with Kubernetes and container ecosystem is an advantage. Experience working with AWS services or other cloud services. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. That is when we will make a great team together, right? How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Infrrd, we help businesses handle messy, unstructured documents. Our AI-powered platform extracts, organizes, and automates data processingso you dont have to. From invoices and contracts to engineering drawings and handwritten notes, we handle the complex stuff that traditional OCR and automation tools can't. Our technology learns from real-world data, making it faster, more accurate, and more intelligent over time. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!