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Job Summary:
We are seeking a skilled AI Developer with a strong backend development background in Python to join our growing team. The ideal candidate should have hands-on experience with at least one AI framework such as LangChain, LangGraph, or any similar tooling in the LLM ecosystem. Familiarity with vector databases, API integrations, and prompt engineering is highly desirable. Front-end development experience is a plus (preferably ReactJS), helping bridge the gap between user experience and intelligent systems.
*Kindly apply only if you are open to contract positions & if you're immediately available to start OR within 2 weeks notice. *
Location: Hybrid, India (This role is available in all Infosys DC locations)
Employment Type: Full-time, 12 months contract
Experience: 5–10 years
Department: Technology / AI Engineering
Key Responsibilities:
Required Qualifications:
Preferred (Good to Have):
Soft Skills:
If you are interested, please share your CV to [Confidential Information] OR apply here & I will get back to you with details on the role.
Job ID: 152610019
Skills:
Microservices, Python Programming, Rest Apis, LangChain, Generative AI, AI Agents, Hugging Face, cloud platforms, vector databases, Claude, Pinecone, Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, Vector Databases, FAISS, ChromaDB, Azure AI Search, OpenAI, Gemini, Prompt Engineering, LlamaIndex
Skills:
Python, LangChain, React framework, multi-agent systems, chain-of-thought reasoning, Google AI, Anthropic, reinforcement learning, NLP fundamentals, prompt engineering, cloud AI services, LangGraph, AutoGen, OpenAI API, transformer architectures, LLM concepts, AI ML frameworks
Skills:
Python, Tensorflow, Machine Learning, Deep Learning, Natural Language Processing, Data Analysis
Skills:
snowflake , Docker, Openshift, FastAPI, Python, Sql, Kubernetes, LangChain, LangGraph, Vector databases
Skills:
Vercel, Docker, Flask, FastAPI, Python, OpenAI models, CrewAI, Graph DBs, LLMs, Hugging Face Transformers, vector databases, Claude, long-term memory, prompt engineering, LangGraph, LLM fine-tuning, Eve, CI CD pipelines, RAG, Gemini