BENGALURU · FULLTIME
Python Developer - Agentic AI / LLM / RAG Engineer
Infosys
Bengaluru · onsite · Posted 33d ago
Sourced from
Undisclosed1–6 yrsfulltimeBengaluru
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.2s
- Found the form on Naukri · 11 questions to answer1.1s
- Decided the answers for all of them2.4s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Job Summary
Job Title: Python Developer - Agentic AI / LLM / RAG Engineer
Job Level: JL3 / JL4 (Based on Experience) 1-6 Yrs
Location: Bangalore/ Pune
We are seeking a skilled Python Developer with expertise in Agentic AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to design, develop, and deploy intelligent AI solutions. The candidate will be responsible for building AI agents, integrating LLM-powered applications, implementing RAG architectures, and optimizing AI workflows for enterprise use cases.
Responsibilities - Develop and maintain AI applications using Python.
- Design and implement Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Build and optimize RAG pipelines using vector databases and retrieval frameworks.
- Integrate and fine-tune Large Language Models (LLMs) including OpenAI, Azure OpenAI, Llama, Claude, Gemini, or similar.
- Develop APIs and microservices for AI applications.
- Implement prompt engineering, workflow orchestration, and AI agent collaboration patterns.
- Create scalable solutions using cloud platforms such as Azure, AWS, or GCP.
- Monitor, evaluate, and improve AI model performance, accuracy, and response quality.
- Collaborate with business and technology teams to translate requirements into AI-driven solutions.
- Strong programming experience in Python.
- Hands-on experience with LLMs, Generative AI, Agentic AI, and RAG architectures.
- Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or equivalent frameworks.
- Knowledge of vector databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search.
- Experience with REST APIs, FastAPI, Flask, or Django.
- Understanding of embeddings, semantic search, prompt engineering, and model evaluation.
- Experience with Git, CI/CD, and software development best practices.
- Knowledge of cloud AI services (Azure OpenAI preferred).
- Experience with multi-agent architectures and AI orchestration.
- Knowledge of MLOps, model deployment, and containerization (Docker/Kubernetes).
- Exposure to NLP, machine learning, and deep learning concepts.
- Experience with enterprise AI governance, security, and responsible AI practices.
- Technology | Artificial Intelligence Automation
- Skill Category | Python Development, Agentic AI, LLM, RAG, Generative AI
- Primary Skills | Python, LangChain, LangGraph, CrewAI, Azure OpenAI, RAG, Vector Databases
- Secondary Skills | FastAPI, Docker, Kubernetes, Azure AI Search, MLOps
Bachelor of Engineering
Service Line Cloud Infrastructure Services
Sourced from naukri
Section · 02
Skills
AutomationDockerclaudeCrewaiAzure Aicloud platformsapiscloud aiai modelamazon web servicesDjango FrameworkAzure OpenAIai governanceEmbeddingsdeploymentcloudDeep LearningAi SolutionsMicrosoft AzureArtificial Intelligence
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
Employees rate it well for
Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780
Find them on