1953 Fastapi Jobs

Looking for a Lead to develop scalable, high-performance apps using Python, FastAPI/Flask. Design APIs, optimize DBs (MySQL, Oracle, PostgreSQL), handle XML data, vector search, and drive Agile collaboration for efficient, reliable solutions. Required Candidate profile 5+ years of exp in Python dev (FastAPI/Flask/Django) Good in PostgreSQL skills; query optimisation, modelling Experience in Unit testing, XML parsing, Git, Agile workflows Knowledge on AI/ML

Experience : 5+ Yrs into Python Developer Notice Period : Immediate - 30 days Job Summary : We are looking for a highly skilled Full Stack Developer with strong expertise in backend technologies like Python, Django, Flask/FastAPI, and frontend development using React.js. The ideal candidate will also have hands-on experience with SQL databases, familiarity with Generative AI concepts, and a foundational understanding of Microsoft Azure cloud services. Key Responsibilities : - Design, develop, test, and deploy scalable web applications using Django or FastAPI. - Build interactive UIs with React.js and integrate them with backend APIs. - Work with relational databases (e.g., PostgreSQL, MySQL) and write optimized SQL queries. - Develop and integrate AI-based features using Gen AI frameworks and tools (e.g., OpenAI APIs). - Follow Agile/Scrum methodologies and participate in sprint planning, reviews, and retrospectives. - Collaborate with DevOps teams for deployment and CI/CD setup on Azure. - Write clean, maintainable, and well-documented code. - Conduct code reviews and mentor junior developers if required. Mandatory Skills : - Strong Python programming experience. - Experience with Django and either Flask or FastAPI. - Proficiency in building RESTful APIs and backend services. - Solid frontend skills using React.js, HTML, CSS, and JavaScript. - Hands-on with SQL databases (PostgreSQL, MySQL, or equivalent). - Experience integrating Gen AI models or APIs (e.g., OpenAI, LangChain, Hugging Face). - Basic understanding of Azure cloud services (App Services, Azure Functions, Storage, etc.). Good to Have : - Experience with NoSQL databases (e.g., MongoDB). - Knowledge of containerization (Docker) and CI/CD pipelines. - Familiarity with authentication/authorization using OAuth, JWT, etc. - Exposure to cloud-native development or serverless architecture. - Knowledge of unit testing frameworks (pytest, unittest, etc.). Soft Skills : - Strong problem-solving and analytical skills. - Good communication and teamwork abilities. - Proactive attitude and willingness to take ownership.

Experience : 5+ Yrs into Python Developer Notice Period : Immediate - 30 days Job Summary : We are looking for a highly skilled Full Stack Developer with strong expertise in backend technologies like Python, Django, Flask/FastAPI, and frontend development using React.js. The ideal candidate will also have hands-on experience with SQL databases, familiarity with Generative AI concepts, and a foundational understanding of Microsoft Azure cloud services. Key Responsibilities : - Design, develop, test, and deploy scalable web applications using Django or FastAPI. - Build interactive UIs with React.js and integrate them with backend APIs. - Work with relational databases (e.g., PostgreSQL, MySQL) and write optimized SQL queries. - Develop and integrate AI-based features using Gen AI frameworks and tools (e.g., OpenAI APIs). - Follow Agile/Scrum methodologies and participate in sprint planning, reviews, and retrospectives. - Collaborate with DevOps teams for deployment and CI/CD setup on Azure. - Write clean, maintainable, and well-documented code. - Conduct code reviews and mentor junior developers if required. Mandatory Skills : - Strong Python programming experience. - Experience with Django and either Flask or FastAPI. - Proficiency in building RESTful APIs and backend services. - Solid frontend skills using React.js, HTML, CSS, and JavaScript. - Hands-on with SQL databases (PostgreSQL, MySQL, or equivalent). - Experience integrating Gen AI models or APIs (e.g., OpenAI, LangChain, Hugging Face). - Basic understanding of Azure cloud services (App Services, Azure Functions, Storage, etc.). Good to Have : - Experience with NoSQL databases (e.g., MongoDB). - Knowledge of containerization (Docker) and CI/CD pipelines. - Familiarity with authentication/authorization using OAuth, JWT, etc. - Exposure to cloud-native development or serverless architecture. - Knowledge of unit testing frameworks (pytest, unittest, etc.). Soft Skills : - Strong problem-solving and analytical skills. - Good communication and teamwork abilities. - Proactive attitude and willingness to take ownership.

Senior Python Developer(s) at Comvision Location: Gurgaon, Mumbai (Navi Mumbai and Colaba), Pune -India We are seeking a Python Engineer to help design, develop, and maintain software applications. The ideal candidate will have experience with Python, Fast API, and PostgreSQL, as well as a strong understanding of web development concepts. The candidate will be working on the development of high-performance and scalable solutions for our clients. The candidate will be responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. Responsibilities Design and develop applications using RESTful APIs , FastAPI, Django and/or Flask Strong understanding of REST API principles and experience building scalable RESTful service Work with PostgreSL, Oracle and TimescaleDB to design and maintain databases Implement real-time data processing and storage solutions using Redis, RabbitM, and Kafka Utilize Numpy and Pandas to perform data analysis and manipulation tasks Integrate applications with Mongo and Influx databases to store and retrieve data Implement websockets for real-time data transfer and communication Use asyncio to write asynchronous code for improved performance Collaborate with cross-functional teams to identify and resolve technical issues Keep up-to-date with new technologies and programming languages ualifications Bachelor's or Master's degree in Computer Science or related field Strong experience with Python and related technologies (Fast API, PostgreSL, TimescaleDB, Redis, Rabbit M, Kafka, Numpy Pandas, Mongo, Influx, Flask/Django, websockets, asyncio) Excellent understanding of software development concepts and data structures Strong problem-solving skills and the ability to think outside the box Excellent written and verbal communication skills Strong collaboration and teamwork skills You will be working with high frequency real time systems and integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well Ability to work independently and in a fast-paced environment.

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications—not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,100,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Application Question(s): What is your Notice Period? What is your current and expected CTC? Work Location: In person

We are organizing a Virtual Hiring Drive on Saturday, 28th June 2025 across all Kanini locations Chennai, Coimbatore, Bangalore, and Pune Job Description: We are looking for an experienced and passionate Data Scientist with a strong background in Python programming and Azure services. The ideal candidate will have hands-on expertise in deploying GenAI/OpenAI-based solutions , working with FastAPI , vector databases , and RAG (Retrieval-Augmented Generation) architectures. Experience in CI/CD , NLP , computer vision (CV) , and deep learning is essential. Key Responsibilities: Design, develop, and deploy machine learning and GenAI solutions. Build and optimize RAG-based architectures using vector DBs, embeddings, and chunking techniques. Develop RESTful APIs using FastAPI and Django. Work with Azure services including Form Recognizer , Azure ML , and Data Storage . Integrate CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams (Product, Engineering, DevOps). Handle structured and unstructured data from various sources including NoSQL databases. Implement NLP and Computer Vision solutions using pre-trained and custom models. Optimize performance and cost of deployed models in production. Primary Skills Proficient in Python programming with strong experience in FastAPI and Django frameworks Hands-on expertise with Microsoft Azure services , including Form Recognizer and Azure Machine Learning Experience in Generative AI , OpenAI APIs , and Large Language Models (LLMs) Skilled in building Retrieval-Augmented Generation (RAG) solutions Familiar with Vector Databases such as FAISS , ChromaDB , Pinecone , and Milvus Knowledge of embedding generation and text chunking techniques Experience in Natural Language Processing (NLP) and Computer Vision (CV) Strong understanding of Machine Learning and Deep Learning techniques Proficient in CI/CD pipeline tools like Jenkins and GitHub Actions Experience working with NoSQL databases , including MongoDB and Cassandra Location: Chennai, Coimbatore, Bangalore, Pune

Company Description Infiheal is dedicated to making mental health services accessible, affordable, and high-quality worldwide. Our advanced AI coach, Healo, uses conversational AI and personality models to assess individuals’ needs and provide tailored mental health recommendations. Our holistic approach combines the best of Eastern mindfulness and Western psychology, offering diverse therapeutic modalities such as meditation audios, mood trackers, and support groups. Infiheal fosters a community-driven approach to enhance therapy outcomes, promote collaboration, and share knowledge among mental health professionals. Job Description: As an AI Intern at Infiheal, you will have the opportunity to work on cutting-edge mental health AI solutions. Your role will involve developing and deploying REST/RESTFUL API applications to support our real-world mental health initiatives. You will collaborate with cross-functional teams to code, debug, and deploy services, ensuring clean code and comprehensive documentation. Key Responsibilities: Design and implement end-to-end mental health AI solutions using FastAPI. Work closely with various teams to code, debug, and deploy services effectively. Write clean, well-documented code and manage deployments on our cloud infrastructure. Utilize Python, FastAPI, Docker, Git, and AWS. Leverage Python libraries related to machine learning, deep learning, and artificial intelligence. Collaborate with psychologists to analyze requirements and ensure alignment with our agile development model. Qualifications: Proficiency in Python and FastAPI Experience with Docker, Git, and AWS Familiarity with Python libraries for machine learning, deep learning, and AI Strong communication skills and ability to collaborate with diverse teams Eagerness to learn and contribute to innovative projects Join us at Infiheal and be part of a team that is shaping the future of mental health through AI. Interested candidates can send us their CV with a cover letter at hr@infiheal.com

Job Title: Python Developer – AI/ML with FastAPI Experience Required: 6+ Years Location: Hyderabad Compensation: Up to ₹18LPA Job Type: Full-time Job Description: We are seeking a highly skilled and experienced Python Developer with expertise in AI/ML and FastAPI to join our team. The ideal candidate will have hands-on experience building scalable machine learning solutions and developing APIs using FastAPI. Key Responsibilities: Design, develop, and deploy robust AI/ML models using Python. Collaborate with data scientists and engineering teams to integrate models into production systems. Develop and maintain RESTful APIs using FastAPI for ML model deployment. Write clean, scalable, and well-documented code. Optimize applications for performance, reliability, and scalability. Stay updated with emerging trends and best practices in AI, ML, and backend development. Required Skills: Strong proficiency in Python , especially for AI/ML development. Proven experience in developing and deploying machine learning models . Hands-on experience with FastAPI or similar Python frameworks. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud services (AWS, GCP, Azure) is a plus. Strong problem-solving and communication skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience with Docker, CI/CD pipelines, and version control systems like Git.

Key Responsibilities: Backend Service Development: Design and implement robust, scalable, and maintainable backend services using Python. Utilize appropriate frameworks and libraries to streamline development and enhance productivity. Integrate AI models and algorithms into backend services, ensuring efficient and reliable communication. AI Model Integration: Collaborate with data scientists and AI engineers to understand AI model requirements and specifications. Develop APIs and interfaces to facilitate seamless integration of AI models into backend services. Cloud Infrastructure Management: Deploy and manage backend services on cloud platforms (e.g., AWS, Azure & GCP). Leverage cloud-native technologies and services to optimize infrastructure costs and performance. Ensure the security and compliance of cloud infrastructure. Collaboration and Mentorship: Work collaboratively with a cross-functional team of engineers, data scientists, and project stakeholders. Provide technical guidance and mentorship to junior engineers. Qualifications and Skills: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in Python programming, with a focus on backend development. Strong understanding of object-oriented programming (OOP) principles and design patterns. Experience with Python web frameworks (e.g., Django, Flask) and RESTful API development. Proficiency in cloud technologies (e.g., AWS, Azure & GCP) and containerization (e.g., Docker & Kubernetes). Familiarity with AI principles, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch). Preferred Qualifications: Experience with large-scale distributed systems and microservices architectures. Knowledge of data engineering principles and big data technologies (e.g., Apache Spark). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings 2.30 pm -11.30 pm

Job Title: Full Stack Engineer Location: Chandigarh - Onsite Department: Engineering Experience Level: Mid to Senior level Employment Type: Full-time About the Role We are looking for a backend-focused Full Stack Engineer to join our engineering team. This role emphasizes backend architecture, API design, and systems integration, while retaining the ability to contribute to frontend work as needed. You'll play a key role in developing secure, scalable infrastructure with integrated AI/NLP components, audit logging, and compliance features. Key Responsibilities · Design and build scalable backend systems using Python (FastAPI) and Java. Knowledge of RUST would be an added plus. · Develop and document RESTful APIs aligned with OpenAPI specifications · Integrate advanced AI/NLP components such as LLaMA 3, LangChain, spaCy, and NLTK · Collaborate on data processing pipelines and GPU-accelerated workloads using NVIDIA H100s · Implement robust audit logging and compliance tracking tools · Contribute to frontend development as needed using React.js and TypeScript Required Skills & Qualifications · 5+ years of experience in backend development with Python (FastAPI) and Java · Strong understanding of RESTful APIs, OpenAPI standards, and secure API design · Experience integrating AI/NLP tools into backend systems · Solid foundation in system architecture, performance optimization, and secure coding practices · Exposure to frontend technologies: React.js, TypeScript, and UI frameworks like Material-UI / Ant Design · Experience with data visualization libraries such as D3.js, Chart.js, or Leaflet.js Preferred Qualifications · Experience with GPU-based AI workflows (e.g., NVIDIA H100s) · Familiarity with LangChain, LLM-based frameworks, or RAG pipelines · Knowledge of compliance systems, audit trail design, or security-first development Why Join Us · Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies. · Tech-First Culture: Join a team where engineering is at the core — we prioritize clean code, scalability, automation, and continuous learning. · Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. · Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence.

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Experience: 2-3 years Location: Nagpur Employment Type: Full-time Job Summary: We are seeking a skilled Python Developer with hands-on experience in implementing cutting-edge Generative AI solutions and developing machine learning models. The ideal candidate will also possess strong knowledge of FastAPI, REST APIs, RDBMS (especially MySQL), and vector databases such as ChromaDB. Key Responsibilities: Design, develop, and deploy scalable Python applications for AI/ML use cases. Implement and fine-tune Gen AI models (e.g., LLMs, transformers) for real-world applications. Develop RESTful APIs using FastAPI and integrate with front-end and third-party services. Create, train, and maintain machine learning models for NLP, recommendation, or classification tasks. Design database schemas and manage data pipelines using MySQL and vector databases (e.g., ChromaDB). Collaborate with cross-functional teams to translate business requirements into technical solutions. Ensure performance, security, and scalability of developed solutions. Required Skills: Strong proficiency in Python with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face). Experience with Gen AI models (e.g., GPT, Gemini, LLaMA, Claude, etc.). Proficient in FastAPI, REST API development, and API security best practices. Solid understanding of RDBMS concepts and practical experience with MySQL. Experience with vector databases like ChromaDB, FAISS, or Weaviate. Familiarity with data handling, ETL pipelines, and model deployment practices. Preferred Qualifications: Experience with Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Exposure to MLOps pipelines and monitoring tools. Understanding of prompt engineering and retrieval-augmented generation (RAG).

Atologist Infotech is looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications. You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines. Key Responsibilities AI Agent System Development Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning. Framework Engineering Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. Contextual Intelligence Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behaviour. Natural Language Interfaces Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. API Engineering Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. System Architecture Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. Ethical AI Prioritize responsible AI design with user safety, transparency, and privacy at the core. Required Skills & Qualifications Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Python Proficiency Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing. AI/LLM Experience Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. Frameworks & Tools FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ) Version Control & Testing Proficient with Git workflows and writing tests using Pytest or similar. Bonus Skills (Nice-to-Have) Experience with autonomous agents, tool-calling, or memory-driven task systems Familiarity with cognitive architectures or symbolic reasoning Contributions to open-source AI frameworks or tooling

Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation.

Notice Period : Immediate - 30 days Job Summary : We are looking for a highly skilled Full Stack Developer with strong expertise in backend technologies like Python, Django, Flask/FastAPI, and frontend development using React.js. The ideal candidate will also have hands-on experience with SQL databases, familiarity with Generative AI concepts, and a foundational understanding of Microsoft Azure cloud services. Key Responsibilities : - Design, develop, test, and deploy scalable web applications using Django or FastAPI. - Build interactive UIs with React.js and integrate them with backend APIs. - Work with relational databases (e.g., PostgreSQL, MySQL) and write optimized SQL queries. - Develop and integrate AI-based features using Gen AI frameworks and tools (e.g., OpenAI APIs). - Follow Agile/Scrum methodologies and participate in sprint planning, reviews, and retrospectives. - Collaborate with DevOps teams for deployment and CI/CD setup on Azure. - Write clean, maintainable, and well-documented code. - Conduct code reviews and mentor junior developers if required. Mandatory Skills : - Strong Python programming experience. - Experience with Django and either Flask or FastAPI. - Proficiency in building RESTful APIs and backend services. - Solid frontend skills using React.js, HTML, CSS, and JavaScript. - Hands-on with SQL databases (PostgreSQL, MySQL, or equivalent). - Experience integrating Gen AI models or APIs (e.g., OpenAI, LangChain, Hugging Face). - Basic understanding of Azure cloud services (App Services, Azure Functions, Storage, etc.). Good to Have : - Experience with NoSQL databases (e.g., MongoDB). - Knowledge of containerization (Docker) and CI/CD pipelines. - Familiarity with authentication/authorization using OAuth, JWT, etc. - Exposure to cloud-native development or serverless architecture. - Knowledge of unit testing frameworks (pytest, unittest, etc.). Soft Skills : - Strong problem-solving and analytical skills. - Good communication and teamwork abilities. - Proactive attitude and willingness to take ownership.

About the Role We are looking for a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and help power the next generation of intelligent travel experiences. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents that can understand, recommend, and assist travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to every travel interaction. Key Responsibilities: LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) to process natural language queries and deliver personalized travel recommendations. Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. Conversational Flow Design: Build and manage robust conversational workflows capable of handling complex travel scenarios such as booking modifications and cancellations. LLM Performance Optimization: Tune models and workflows to balance performance, scalability, latency, and cost across diverse environments. Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, with a focus on secure and efficient API architectures. Database & ORM Design: Design and manage data using PostgreSQL or MongoDB, and implement ORM solutions like SQLAlchemy for seamless data interaction. Cloud & Serverless Infrastructure: Deploy solutions on AWS, GCP, or Azure using containerized and serverless tools such as Lambda and Cloud Functions. Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics. NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively. Preferred Candidate Profile: Experience: Minimum 2 years in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs. Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization. Model Engineering: Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. Cloud Deployment: Comfortable working with cloud platforms (AWS/GCP/Azure) and building serverless or containerized deployments. NLP Understanding: Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. Problem-Solving Mindset: Ability to translate business problems into AI-first solutions with a user-centric approach. Team Collaboration: Strong communication skills and a collaborative spirit to work effectively with multidisciplinary teams. Curiosity and Drive: Passionate about staying at the forefront of AI and using emerging technologies to build innovative travel experiences.

Company Description Starstack Technologies Pvt. Ltd. is a next-gen digital transformation company specializing in intelligent software solutions. By leveraging Artificial Intelligence, Immersive Experience Design, Modern Engineering, and Decentralised technologies, we deliver scalable and high-performance solutions to overcome unique business challenges. What You’ll Do Design, develop, and maintain robust Python-based backend services and APIs. Collaborate with front-end developers, DevOps engineers, and product managers to deliver integrated solutions. Write clean, modular, testable code with proper documentation. Optimize application performance and troubleshoot issues in production and development. Participate in code reviews, architecture discussions, and Agile ceremonies. Stay up to date with Python best practices and new backend technologies. Exposure to microservices architecture. Knowledge of Celery, Redis, or message brokers (RabbitMQ/Kafka). Experience with testing frameworks like PyTest or UnitTest. Contributions to open-source projects or personal tech portfolio. Qualifications 3–5 years of experience in backend development using Python. Strong understanding of Python frameworks such as Django, FastAPI, or Flask. Proficiency in RESTful API design, database modeling, and SQL/NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with version control systems like Git. Familiarity with Docker, CI/CD pipelines, and cloud services (AWS/GCP/Azure) is a plus. Solid problem-solving skills and attention to detail. Bachelor’s degree in Computer Science, Engineering, or related field. Soft Skills Strong Communication Skills: Excellent verbal and written communication in English to convey complex technical ideas clearly and effectively across diverse audiences including clients, team members, and stakeholders. Client-Centric Approach: Maintains a clear understanding of business goals and user needs, consistently aiming to deliver features that add real value and enhance client satisfaction. Collaborative Mindset: Ability to work seamlessly with business and technology partners, peers, and senior management.

AI Generalist – Agentic Workflows & Full-Stack Engineering Location: On-Site from Delhi Type: Full Time Experience Level: Mid-Senior (3–7 years) �� About the Role We are looking for an AI Generalist with strong hands-on experience in building AI agents and workflow orchestration using agentic frameworks . You should also be comfortable working across the full stack — from backend APIs to frontend dashboards — to bring intelligent automation to life. You’ll work at the intersection of AI systems, automation infrastructure, and user-facing tools , owning projects from ideation to deployment. ️ Key Responsibilities ● Design, prototype, and build AI agent-based workflows using modern frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAgents). ● Create scalable agent systems for use cases like research, content creation, decision support, etc. ● Develop orchestration logic for multi-agent collaboration and task routing. ● Build and maintain backend APIs , data pipelines , and task queues to support agents. ● Implement intuitive UIs or dashboards to manage and visualize agent workflows. ● Integrate with third-party APIs, LLM providers (OpenAI, Anthropic, etc.), vector databases, and tools. ● Optimize prompt engineering, context management, and memory strategies for agent stability and performance. ● Write clean, well-documented, production-grade code and deploy it in real environments (cloud or edge). ● Collaborate with product managers, designers, and data scientists to deliver powerful AI-first tools. ✅ Requirements Must-Have ● 3+ years of experience as a software engineer or AI generalist. ● Proven hands-on experience building with at least one agentic framework (LangChain, CrewAI, AutoGen, Semantic Kernel, etc.). ● Strong programming experience with either Python or JavaScript/TypeScript. ● Solid understanding of LLMs , prompt chaining, memory, tools, embeddings, and agent design patterns. ● Experience building and consuming RESTful APIs or GraphQL APIs . ● Familiarity with full-stack technologies: e.g., Next.js / React / Node / FastAPI / Django . ● Experience with databases (PostgreSQL, Supabase, or NoSQL), Redis , vector DBs (e.g., Pinecone, Chroma, Weaviate). ● Comfortable with cloud infrastructure (e.g., Vercel, AWS, GCP) and DevOps workflows (CI/CD, Docker). Nice-to-Have ● Prior work on AI-first products or startups. ● Experience with agent memory stores, custom tool integration, or planning modules (e.g., ReAct, AutoGPT). ● Worked on personal AI assistants, knowledge agents, or task automation bots. ● Contributions to open-source LLM frameworks or toolchains. ●Familiaritywithscheduling, queues(e.g., Celery, n8n, Temporal), orRAGpipelines.

Location: On-site (Goa) Duration: 3-6 months Stipend: ₹15,000 – ₹25,000 per month Start Date: July 2025 onwards Company: Ahoum – A Spiritual Tech Startup About Ahoum Ahoum is a purpose-driven spiritual tech startup that blends ancient wisdom, modern psychology, and AI to help individuals deepen their inner journey. We are in the post-MVP stage and currently building a next-gen experience for seekers. Our ecosystem is rapidly evolving, and we’re looking for tech interns with curiosity, creativity, and commitment to join us in shaping this vision. About The Role This internship is ideal for candidates who are not just coders—but creators. You should be excited by the potential of AI, automation, and spirituality coexisting in tech, and be ready to contribute to a growing product. The role covers Python, React Native, AI tool integration, and prompt engineering—with hands-on experience in product enhancement, infrastructure development, and AI prompt design. Key Responsibilities Product Development & Enhancement Work on improving the frontend (React Native) and backend (Python/Django/FastAPI) of the main app. Address open loops in content architecture, recommendation systems, and backend workflows. Optimize UI/UX and responsiveness across devices. AI Tool Integration Integrate and experiment with AI tools such as OpenAI, LangChain, Cursor, Weaviate, and LlamaIndex to enhance product intelligence. Assist in prompt tuning, testing, and refining context-aware conversations for our seeker and facilitator agents. Prompt Engineering Design detailed, structured, and contextual prompts that fuel AI agents for coaching, guidance, journaling, and more. Collaborate with the content and design teams to build human-like, helpful agent experiences. Full Stack Support (Other Project) Build and manage a parallel web project using React (or similar), Python, and SQL/NoSQL DBs. Ensure secure database management, clean API design, and seamless frontend-backend coordination. Who You Are Proficient in Python and React Native. Familiar with REST APIs, Git workflows, and database management (MongoDB/PostgreSQL/Firebase). Open to using and learning AI tools (OpenAI API, LangChain, DALL·E, Figma AI, N8n, Replit, etc). Able to approach tech problems with logic A self-starter who thrives in ambiguity and is excited by spiritual or conscious tech. Bonus Points If You Have experience working with AI-based app features, chatbots, or semantic search. Have done prompt engineering or used LLMs in a previous project. Know No-Code/Low-Code tools like Bubble, Webflow, or Retool. What You’ll Gain Are curious about mindfulness, psychology, or inner work. Direct mentorship from a vision-led product and a hands on experience of working with the founder and core team. Experience building in a high-agency environment at the cutting edge of AI and consciousness. A front-row seat in a deep tech-meets-spirituality revolution. Note: This is a paid internship.Skills: prompt,git workflows,webflow,design,python,database management (mongodb, postgresql, firebase),react native,ai tool integration,prompt engineering,rest apis

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Python Developer Internship (Remote) Type: Full-Time Stipend: ₹25,000/month Location: Remote About the Internship We are seeking a highly motivated Python Developer Intern to join our team for a one-month full-time remote internship. This opportunity is ideal for individuals looking to apply their Python programming skills to real-world projects and gain valuable hands-on experience in software development. Key Responsibilities Write clean, efficient, and maintainable Python code Assist in the development and debugging of backend services, APIs, or automation scripts Collaborate with cross-functional teams to understand project requirements and deliver solutions Participate in code reviews and contribute to improving coding practices Document technical processes and project updates clearly Eligibility & Requirements Strong understanding of core Python concepts and programming fundamentals Familiarity with frameworks like Flask, Django, or FastAPI is a plus Experience with Git, RESTful APIs, and working with databases (SQL/NoSQL) Ability to work independently in a remote setup and meet project timelines Strong problem-solving and communication skills Perks Fixed stipend of ₹25,000 for the internship period Remote work flexibility Internship certificate upon successful completion Mentorship and real-world project exposure

About the Role: - We are seeking a motivated and skilled Python Developer to join our growing development team. The ideal candidate will have strong experience building scalable back-end systems using Python and related frameworks. While the role primarily focuses on back-end development, experience with front-end technologies will be considered a plus. Key Responsibilities: - Develop, test, and maintain scalable server-side applications using Python. - Build APIs and back-end services using frameworks like Django, FastAPI, or Flask. - Work with databases such as PostgreSQL, MySQL, or MongoDB to design and optimize data storage solutions. - Collaborate with front-end developers, UI/UX designers, and project managers to ensure seamless integration and high-quality delivery. - Write clean, maintainable, and efficient code while following industry best practices and internal coding standards. - Participate in code reviews, troubleshooting, and debugging. Key Skills & Requirements: - Minimum 2 years of hands-on experience with Python development. - Strong knowledge of Django, FastAPI, or Flask frameworks. - Experience working with SQL and/or NoSQL databases. - Proficiency in building and consuming RESTful APIs. - Familiarity with Git or other version control systems. - Strong problem-solving skills and attention detail. - Ability to work independently as well as in a collaborative team environment. - Good communication skills, both written and verbal.

Job Title: Senior Full Stack Developer (React.js + Python) Location: Hyderabad, India About Us: We are an ambitious stealth-mode startup backed by seasoned entrepreneurs, building a transformative AI-driven platform across modern enterprise environments. We're operating at the intersection of artificial intelligence, automation, and intelligent decision-making. If you're passionate about creating scalable solutions and love solving complex problems. Role Overview: We are looking for an Extremely Strong Senior Full Stack Developer (React.js + Python) to join our fast-paced development team. As a Senior Full Stack Developer, you will play a critical role in architecting, designing, and implementing scalable, high-performance web applications. You will work closely with the Founding Team, AI/ML engineers, and product designers to transform ambitious ideas into real-world solutions. Key Responsibilities: Lead the development of end-to-end web applications using React.js and Python (Django/FastAPI/Flask). Collaborate in system architecture and contribute to product roadmap and technical decisions. Build responsive, secure, and high-performance UIs and backend APIs for AI-driven applications. Integrate with third-party APIs, databases, and machine learning models. Optimize application for performance, scalability, and maintainability. Write clean, maintainable, well-documented, and testable code. Mentor junior developers and contribute to a high-performance engineering culture. Help establish best practices for deployment (CI/CD), testing, and development processes Must-Have Skills: 5+ years of experience in full stack development with solid command of: Frontend: React.js, Redux/Context, HTML5, CSS3, REST APIs Backend: Python (Django, FastAPI, or Flask) Strong understanding of system design, data structures, and API architecture. Experience with PostgreSQL, MongoDB, or other databases. Familiarity with cloud platforms like AWS, Azure, or GCP. Git, Docker, CI/CD pipelines, and automated testing frameworks. Excellent debugging, optimization, and problem-solving skills. Preferred: Experience working in a startup or fast-paced environment. Exposure to AI/ML workflows or integration. Ability to generate code with AI agents is huge plus. Familiarity with microservices architecture and event-driven systems. Prior contributions to stealth or early-stage product development. Understanding of security and compliance in enterprise web applications. What We Offer: Competitive salary and performance bonuses. Stock Options Opportunity to work on cutting-edge products impacting thousands of users. Support for continuous learning and professional growth. Collaborative and inclusive team culture.

Role Overview We are looking for an AI/ML Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate should have strong hands-on experience in LLMs, prompt engineering, reasoning workflows (e.g., Chain-of-Thought), and agentic AI frameworks alongside a solid foundation in machine learning. Key Responsibilities Fine-tune reasoning-based LLMs using Chain-of-Thought datasets and techniques. Utilize multiple LLMs (ChatGPT, Claude, Gemini, etc.) and understand their strengths and limitations. Optimize LLM interactions through advanced prompt engineering, few-shot CoT, and iterative refinement. Leverage Retrieval-Augmented Generation (RAG) to combine external context with LLM reasoning. Use platforms like Hugging Face/GitHub to manage, fine-tune, and deploy pretrained models. Implement agentic AI workflows (LangGraph, CrewAI, or custom orchestration systems). Develop scalable backend architectures using FastAPI, Uvicorn, Celery, and async pipelines. Build intelligent automation pipelines involving scraping, entity extraction, and enrichment. Apply best practices in LLM engineering, including: Model training workflows (train/val/test splits, dataset curation) Fine-tuning and instruction-tuning with open-source models Reasoning task evaluation (factuality, coherence, step accuracy) Stay on the cutting edge of AI advancements, from open-weight LLMs to novel prompting strategies. Required Skills & Expertise Excellent communication skills — ability to articulate AI concepts clearly. Hands-on experience in: Prompt engineering for LLM-based applications Agentic AI frameworks (LangGraph, CrewAI, or custom-built) Chain-of-Thought reasoning, few-shot learning, and task decomposition Retrieval-Augmented Generation (RAG) pipelines Web scraping tools (Playwright, Octoparse, BeautifulSoup) System architecture (FastAPI, Uvicorn, Celery, async queues) AI/ML platforms (Hugging Face, Transformers, GitHub-based models) ML Frameworks: PyTorch (preferred), TensorFlow, or Keras Core fundamentals: Data structures, statistics, linear algebra, and optimization Bonus: Familiarity with reasoning datasets (GSM8K, HotpotQA, OpenBookQA) Experience with evaluation metrics for generative models (BLEU, ROUGE, EM, custom validators) Comfortable working across APIs, scraping flows, and backend systems Required Background 3 to 5 years of work experience in AI/ML, backend engineering, or NLP-heavy roles A portfolio of real-world projects — shipped products, agents, scrapers, or research tools Why Join Us? Be part of a stealth-stage, AI-first company solving real-world problems Build reasoning-aware systems powered by LLMs and automation Work at the intersection of trend intelligence, agents, and research Ship fast, own what you build, and have a voice in product direction Competitive salary If you’re passionate about building smart systems that think , we’d love to connect.

Job Title : AI/ML Engineer (Python + AWS + REST APIs) Department : Web Location : Indore Job Type : Full-time Experience : 3-5 years Notice Period : (immediate joiners preferred) Work Arrangement : On-site (Work from Office) Overview Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities AI/ML Development : Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for : Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies Python, PyTorch, TensorFlow FastAPI, Flask AWS : SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL (ref:hirist.tech)