Company:IT Services Organization Key

Skills:
Vector Database Integration, Retrieval-Augmented Generation, Python, NLP, Generative AI, LangChain Development, MLOps, Kubernetes, System Design, AWS, CICD, Docker Roles and

Responsibilities:
• Design and develop end-to-end agentic AI applications using Python and large language model technologies.
• Build RAG pipelines covering document ingestion, retrieval, context management, and grounded response generation.
• Develop prompt strategies, tool integrations, and multi-agent workflows using LangChain, LangGraph, and CrewAI.
• Apply NLP techniques to improve query understanding, information extraction, classification, and response quality.
• Evaluate, troubleshoot, and refine LLM applications for accuracy, reliability, latency, and production readiness. Skills Required:
• 5-8 years of relevant experience in AI engineering, machine learning engineering, software engineering,



or LLM application development.
• Strong professional experience with Python and production software development.
• Hands-on experience building Generative AI or LLM-powered applications, including RAG solutions and prompt engineering.
• Practical knowledge of NLP, vector databases, embeddings, semantic search, and retrieval workflows.
• Experience with one or more agent orchestration frameworks, including LangChain, LangGraph, or CrewAI. Positive to Have:
• FastAPI, system design, automated testing, AWS, Docker, Kubernetes, CI/CD, MLOps, LangSmith, Langfuse, PyTorch, Hugging Face, PostgreSQL, MongoDB, or Redis.

Education:
B.
Tech or M.
Tech in Computer Science, Artificial Intelligence, Information Technology, or a related discipline.

📌 AI Engineer (Bengaluru)
🏢 MyCareernet
📍 Bengaluru