82 Langgraph Jobs - Page 3

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

We are seeking a skilled and motivated Python Developer with 4–9 years of hands-on experience in designing, developing, and deploying robust backend solutions. The ideal candidate will have a strong foundation in Python, a passion for clean code. Required Candidate profile AI Capabilities - NLPs & RAG - Fine-Tuning: PEFT - Transformers & Vectorization: Hugging Face, TF-IDF, Embeddings, Qdrant, Pinecode - LLMs: OpenAI, Claude - Interactive AI Apps: Streamlit, FastAPI

* If you are 5+ years experienced and Immediate joiner , please apply: https://docs.google.com/forms/d/e/1FAIpQLScorR1zEgu9FvDHO-4gjJEOPhk_2tJE6cgftARiy9rwcVcDHg/viewform 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Interview Pattern: Screening Interview - 30 min on google meet Second Interview - 60 min Final Client Interview - 30 min Govt Id should be shown in all interviews and camera is a must. Timings: 8 hrs/day, Mon-Fri Salary will be competitive above the market standards and will be calculated on hourly basis. Role & responsibilities Preferred candidate profile : Immediate Joiners

Are you passionate about building cutting-edge AI applications that make real-world impact? We're looking for a skilled AI Engineer to join our team at a fast-growing SaaS-based company in Pune. Who Were Looking For: An experienced AI Engineer with 5+ years of hands-on experience in developing and deploying AI/ML solutions using the Python stack, with deep knowledge of modern AI/ML frameworks and agentic technologies like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, and more. Educational Background: B.Tech/M.Tech in Computer Science from Tier 1 institutions only (IITs, NITs, IIITs, BITS Pilani) Key Responsibilities: Develop and deploy scalable, AI-powered applications using Python Build intelligent systems using advanced frameworks (LangChain, Hugging Face, PyTorch, TensorFlow, etc.) Create robust APIs for integrating AI into web and cloud applications Apply MLOps for streamlining model deployment, CI/CD, and monitoring Collaborate with cross-functional teams to align AI capabilities with business needs Manage deployments on AWS, Azure, or GCP, ensuring high performance and security Troubleshoot production issues and deliver timely resolutions Continuously explore and experiment with emerging AI technologies. Tech Stack & Skills: Python, REST APIs, AI/ML agentic frameworks PyTorch, TensorFlow, Hugging Face, OpenAI APIs Cloud: AWS, GCP, or Azure | Docker, Kubernetes MLOps, CI/CD, Git, automation frameworks Strong grasp of data processing and machine learning fundamentals. Soft Skills: Curious, self-driven, and collaborative mindset Passion for innovation in AI/ML Excellent problem-solving and communication skills. Location: Pune Mode: Full-time, 5-day Work from Office Client: Leading SaaS-based product company

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

Job Title: Senior Python Software Architect Job Type: Full-Time Experience Level: 10-15 Years Industry: Software Development / AI & Cloud Infrastructure Reports To: Director of Engineering / CTO Job Overview We are seeking a highly experienced and visionary Senior Python Software Architect to lead the design and development of scalable, secure, and high-performance backend systems. This role is ideal for someone with deep Python expertise, a strong grasp of modern API frameworks like FASTAPI, and a passion for building GenAI agentic systems. You will play a critical role in shaping the architecture of reusable microservices, guiding engineering best practices, and integrating advanced telemetry and observability into our platforms. Key Responsibilities Architect and develop robust Python-based backend systems using modern design patterns and best practices. Extend and customize FASTAPI internals to meet complex business requirements. Design and implement secure authentication flows using Azure AD, OAuth2, and API security best practices. Containerize applications using Docker and deploy them to Kubernetes-based environments. Integrate and extend GenAI frameworks such as LangChain and LangGraph, including agent creation and telemetry instrumentation. Lead architectural decisions for reusable microservice templates and backend infrastructure. Implement asynchronous programming models using async/await, event-driven patterns, and concurrency control. Collaborate with cross-functional teams to ensure scalable and maintainable system design. Mentor junior developers and contribute to code reviews, design sessions, and technical documentation. Must-Have Qualifications 1015 years of professional experience in Python development. Deep understanding of Python meta-programming (decorators, context managers, dynamic class creation). Expertise in software design patterns (Factory, Adapter, Faade, Iterator, etc.). Advanced knowledge of FASTAPI, including customization and internal extension. Experience with Azure Authentication, OAuth2, and secure API design. Proficiency in Docker and Kubernetes for container orchestration. Hands-on experience with LangChain or LangGraph, including telemetry integration (e.g., OpenTelemetry). Proven leadership in system architecture and reusable service design. Strong background in asynchronous programming and event-driven systems.

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.

Data Scientist Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate: Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

We are seeking a skilled and innovative AI Agent Developer to design, build, and maintain autonomous AI agents capable of performing complex tasks using large language models (LLMs), APIs, and structured environments. The ideal candidate will have a strong foundation in software engineering, experience with AI frameworks, and a passion for building intelligent, adaptive systems. Immediate joiners will be preferred. Key Responsibilities: • Design, develop, and deploy AI agents capable of autonomous decision-making and task execution. • Integrate agents with LLMs (e.g., OpenAI GPT, Claude, Mistral) and external APIs for dynamic reasoning and action. • Implement memory, planning, and tool-use capabilities in agent architectures. • Collaborate with data scientists and backend engineers to optimize performance and scalability. • Monitor and evaluate agent behavior, adapting systems based on real-world feedback. • Contribute to research and innovation on agent frameworks and human-AI interaction models. Required Skills & Qualifications: • Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. • 5+ years of experience with Python, AI/ML frameworks (LangChain, AutoGen, etc.), or agent-based modeling. • Experience with RESTful APIs, cloud platforms (AWS, Azure, GCP), and vector databases (e.g., Pinecone, Weaviate). • Understanding of reinforcement learning, planning algorithms, and prompt engineering. • Excellent problem-solving and communication skills. Preferred Qualifications: • Experience building agents in environments like ReAct, AutoGPT, BabyAGI, or custom frameworks. • Background in cognitive architectures, multi-agent systems, or human-in-the-loop systems. • Exposure to ethical considerations and safety in autonomous AI systems. Interested candidates share resume at meenakshi.middha@alcortech.com with CCTC,ECTC and notice period details.

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.

Description: Job Description: We are looking for an experienced Python Developer with expertise in AI/ML to join our team. The ideal candidate should have strong Python development skills and hands-on experience with AI/ML frameworks, LangChain, Haystack, and LangGraph . Key Responsibilities: Develop and optimize AI/ML-driven applications using Python. Implement and enhance solutions leveraging LangChain, Haystack, and LangGraph . Collaborate with cross-functional teams to integrate AI/ML models into production systems. Design and develop scalable machine learning pipelines and APIs. Debug, optimize, and maintain AI-based applications. Requirements: 310 years of experience in Python development , with a focus on AI/ML. Strong expertise in LangChain, Haystack, and LangGraph . Experience in developing and deploying ML models in a production environment. Familiarity with NLP, deep learning, and vector databases is a plus. Excellent problem-solving skills and ability to work independently or in a team.

Req ID: 327886 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 AI & LLM Engineer - Digital Engineering Sr. Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Software Engineer - LLM & Agentic AI Systems Design and build intelligent agents using LLMs that can autonomously complete tasks via planning, reasoning, and tool use. Develop backend services and APIs to support AI agent workflows and integrations. Implement planning frameworks (e.g., ReAct, AutoGPT, BabyAGI, LangGraph) and decision-making loops using LLMs. Build, test, and optimize LLM-based applications with tools like LangChain, LlamaIndex, or Semantic Kernel. Create and manage pipelines that connect LLMs to tools, APIs, and databases in real-time. Collaborate with ML/AI researchers, data engineers, and product teams to ship LLM-powered experiences. 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.

Bachelors degree or higher in Machine Learning, Computer Science, Computational Linguistics, Mathematics or other relevant technical field from premier institute. •Strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning and Generative AI/LLM. •Expertise in Deep Learning techniques and applications. •Strong understanding of Generative AI (GenAI) including math behind the models and its practical implementations. •Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.. and cloud ecosystems like Azure, AWS, GCP, Databricks •Proficiency in LangChain, LangGraph, and working with Vector Databases for advanced data retrieval and AI workflows. •Proficiency in Python or similar programming languages, with experience in AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Hugging Face. •Knowledge of financial products, including mutual funds, ETFs, and client segmentation, is a plus. •Excellent problem-solving and analytical skills. •Strong communication skills to explain complex models and insights effectively.

Key Responsibilities: Design and development of AI-driven applications using frameworks such as LangChain, LangGraph, CrewAI, AutoGPT, and Autogen. Build and maintain RESTful APIs, GraphQL endpoints, and gRPC services to support scalable AI features. Support the development of intelligent agents and multi-agent collaboration mechanisms. Implement reasoning techniques including ReAct, Chain-of-Thought (CoT), and Tree-of-Thought (ToT) as part of AI workflows. Contribute to retrieval-augmented generation (RAG) pipelines using vector stores like Weaviate, Pinecone, FAISS, or ChromaDB. Integrate tool-use APIs, function calling, MCP, and external workflows via tools like Zapier or N8N. Work with orchestration tools such as Airflow, Ray, or Temporal to manage agent workflows and data pipelines. Collaborate with AI/ML engineers, product managers, and other developers in building intelligent, production-grade applications. Required Qualifications: 3-5 years of backend or full-stack development experience, with working on Generative or Agentic AI solutions. Proficiency in Python (preferred), with working knowledge of TypeScript/Node.js, Go, or Java. Hands-on experience developing REST APIs, GraphQL endpoints, and/or gRPC-based services. Familiarity with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Exposure to frameworks such as LangChain, LlamaIndex, or CrewAI. Basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone). Experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes).

Primary Responsibilities: Design and develop AI-driven web applications using Streamlit and LangChain. Implement multi-agent workflows with LangGraph. Integrate Claude 3 (via AWS Bedrock) into intelligent systems for document and image processing. Work with FAISS for vector search and similarity matching. Develop document integration solutions for PDF, DOCX, XLSX, PPTX, and image-based formats. Implement OCR and summarization features using EasyOCR, PyMuPDF, and AI models. Create features such as spell-check, chatbot accuracy tracking, and automatic re-training pipelines. Build secure apps with SSO authentication, transcript downloads, and reference link generation. Integrate external platforms like Confluence, SharePoint, ServiceNow, Veeva Vault, Outlook, G.Net/G.Share, and JIRA. Collaborate on architecture, performance optimization, and deployment. Required Skills: Strong expertise in Streamlit, LangChain, LangGraph, and Claude 3 (AWS Bedrock). Hands-on experience with boto3, FAISS, EasyOCR, and PyMuPDF. Advanced skills in document parsing and image/video-to-text summarization. Proficient in modular architecture design and real-time AI response systems. Experience in enterprise integration with tools like ServiceNow, Confluence, Outlook, and JIRA. Familiar with chatbot monitoring and retraining strategies. Secondary Skills: Working knowledge of PostgreSQL, JSON, and file I/O with Python libraries like os, io, time, datetime, and typing. Experience with dataclasses and numpy for efficient data handling and numerical process

Role & responsibilities Minimum Qualifications: • 23 years of hands-on experience developing production-grade LLM applications. • 3 to 5 years of overall software development experience. • Minimum 1 year of experience in autonomous agent development using the LangGraph framework or similar. Must-Have Skills: 1. Production-Grade LLM Development: Proven experience in developing and deploying large language model applications. 2. Autonomous Agent Development: Hands-on experience with frameworks like LangGraph for building autonomous agents. 3. Advanced RAG Architectures: Expertise in hybrid search, multi-vector retrieval, and contextual compression. 4. Prompt Engineering and Vector Search Optimization: Proficiency in crafting effective prompts and optimizing vector searches. 5. Performance Tuning and Token Optimization: Strong understanding of response caching and techniques to optimize token usage. Nice-to-Have Skills: 1. Scalable Architectures: Experience with Kubernetes, Docker, and cloud platforms, preferably Azure. 2. NoSQL Databases: Familiarity with MongoDB and ElasticSearch. 3. API-Driven Development: Knowledge of building and maintaining APIs. 4. CI/CD Pipelines and Agile Methodologies: Experience with continuous integration/continuous deployment pipelines and Agile practices. 5. Analytical and Problem-Solving Skills: Strong analytical abilities

Responsibilities Job Responsibilities: Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Collaborate with cross-functional teams to identify business needs and develop tailored solutions Provide technical leadership and guidance to junior team members Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions Communicate complex technical concepts to non-technical stakeholders and team members Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Technical and Professional Requirements: Preferred Qualifications: Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI Experience with cloud-based technologies, such as AWS or Azure Familiarity with containerization using Docker, and orchestration using Kubernetes Familiarity with agile development methodologies, such as Scrum or Kanban Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch Knowledge of data engineering, data warehousing, and data governance Experience with agile development methodologies, such as Scrum or Kanban Certification in data science, machine learning, or a related field Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Technology->Machine Learning->Python Additional Responsibilities: Required Qualifications: B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field At least 8 years of experience in software development, with at least 2 years of experience in Generative AI Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques Strong understanding of software architecture, design patterns, and principles Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka Soft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems Location of posting is subject to business requirements

Note: Need candidate only from Startup, Banking, Fintech, Product Based We are not looking for NIT or IIT or VIT Candidates. Please don't apply. Required Qualifications: 1+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Roles and Responsibilities Design and develop data science solutions using Python. Experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) Develop machine learning models using TensorFlow or PyTorch and deploy them on Kubernetes, MLflow, and KServe clusters. Familiarity with machine learning deployment and MLOps tools Experience working with model repositories and fine-tuning frameworks like Hugging Face. Experience with frameworks like LangGraph/LangChain. Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning.

We are seeking a highly skilled Generative AI Consulting Director to join our dynamic team, where they will lead our consulting team, manage the delivery of consulting services, guide clients through the implementation of our Gen AI platform, and ensure the successful adoption of the platform across industries. Key Responsibilities: Lead or mentor a global team of AI consultants, solution architects, and professional services teams. Develop and execute the strategy for consulting and professional services for the Gen AI platform. Manage the end-to-end Implementation our platform in client environments, ensuring high quality implementations, on time delivery, and alignment with customer expectations. Work closely with clients to understand their business challenges and design tailored solutions using the Gen AI platform. Lead the development of solution architectures, ensuring that proposed solutions are scalable, innovative, and aligned with the client's objectives. Collaborate with product development, GTM, and engineering teams to ensure successful implementation and integrations. Provide feedback to product teams based on client needs and market trends to continuously improve the platforms offerings. Drive client success by ensuring that Gen AI platform implementation deliver measurable value and return on investment (ROI). Work closely with clients to define successful metrics, track project outcomes, and guide the optimization of AI models and systems post-implementation. Manage P&L for the Consulting and Professional Services division, ensuring profitability through effective project management, cost control, and client retention. Develop and implement strategies to drive revenue growth within the professional services arm. Ethical and Responsible AI: Adhere to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage. Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore innovative approaches and techniques that can enhance AI capabilities. Mandatory Qualifications/Skills: A bachelors or masters degree, or equivalent, in computer science, Artificial Intelligence, or a related field. 15+ years of experience in consulting or professional services, with at least 5 years in a leadership role overseeing a team of AI consultants or solution architects Extensive experience in delivering Generative AI solutions and familiarity with AI platforms, including knowledge of NLP, deep learning, and reinforcement learning. Experience with large language models (LLMs) and prompt engineering. Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like LoRA, QLoRA and the strategy to adopt for various use cases Proficiency in languages such as Python, Scala, or Java In depth knowledge of both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., Vector databases, MongoDB, Cassandra etc). Expertise in Gen AI/AI libraries / frameworks, including but not limited to LangChain, LangGraph, LangSmith, TensorFlow, PyTorch, scikit and Keras Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Proven experience in managing client relationships and understanding their business needs to deliver successful AI solutions. Strong understanding of AI systems architecture and the ability to design and implement complex AI solutions for clients across various industries. Experience with project management methodologies, and a proven ability to manage large, complex projects to successful completion. Excellent leadership, mentoring, and team building skills, with a track record of developing high performing teams. Strong business acumen, with the ability to balance technical expertise with client centric decision making. Outstanding communication and presentation skills, capable of engaging with senior executives and non-technical stakeholders. Strong problem solving and analytical skills, with the ability to think creatively and provide innovative solutions Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT, and experience with NVIDIA GPU hardware and the software stack. Familiarity with High Performance Computing (HPC) and their integration of AI workloads. Familiarity with Big Data platforms and technologies, such as Hadoop or Apache Spark and their integration with AI solutions.

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. What will you do? Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack. Architect and lead the implementation of Agentic AI applications. Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring? Strong experience in a software engineering role Bachelor's degree in Computer Science, Computer Engineering or related field 10+ years of professional coding, at least a year using Python Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Problem-solving and troubleshooting skills including performing root cause analysis Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Knowledge of Distributed Systems Experience with LangGraph, LangChain, Autogen and/or Python/ Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Presentations skills and public speaking skills for conferences and demos Enjoys solving challenging problems and working with emerging technologies The following are considered a plus: Experience with AI Agentic frameworks Experience with MCP servers Experience working with LLMs Experience in building Chatbots with Slack Personal qualities and communication: Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

3+ years of professional frontend development experience Strong skills in React, React Native, TypeScript, HTML, and CSS Experience building mobile and web apps with shared component libraries Required Candidate profile Develop frontend features in React (web) and React Native (mobile) • Build responsive dashboards, mobile tools, and planning interfaces for AI agents • Integrate geospatial visualizations

5+ years of professional experience in software engineering, preferably in ML/AI environments Strong command of Python 3, including data science/ML libraries (Pandas, NumPy, Scikit-learn, proficient in React and OO languages like Java or C# Required Candidate profile Design and develop AI-powered agents to improve decision-making and automation in real world scenarios Build and implement agent workflows using LLMs and orchestration frameworks like LangGraph

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for . B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ years of Experience in Product Development Company . Experience working with AI agents, including multi-agent architectures. . Familiarity with agentic AI systems and conversational AI platforms. . Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. . Strong design skills involving data modeling and low level class design . Good knowledge of object oriented programming and design pa erns . Proficiency in at least one programming language - Python, Java, Golang . Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems . Hands-on experience of working with Databases and Linux/Unix platform . Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. . Strong technical aptitude and good knowledge of CS fundamentals . What will you get to do here . Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. . Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. . Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create . Implementation of long term technology vision for your team. . Creating architectures & designs for new solutions around existing/new areas . Decide technology & tool choices for your team & be responsible for them. Visit our tech blogs to learn more about some of the challenging Problem Statements the team works at:- . https://bytes.swiggy.com/engineering-challenges-at-swiggy-430dea6c86a3 . https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6 . https://bytes.swiggy.com/what-serviceability-means-at-swiggy-c94c1aad352a . https://bytes.swiggy.com/architecture-and-design-principles-behind-the-swiggys-delivery-partner s-app-4db1d87a048a . https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4 . https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.