Required Skills & Qualifications
1. 2–5
years of overall experience in AI/ML, with 1–2 years in Generative and Agentic
AI. Proficient in prompt engineering and
context engineering.
2. Proficiency
in Python/Java -based AI libraries for developing GenAI applications. Experience
in agentic AI systems such as autonomous agents, multi -step reasoning, and tool
orchestration.
3. Hands -on
experience with frameworks like LangGraph, LangChain, AutoGen, CrewAI, Google ADK, n8n, MCP
4. Experience
working with vector databases.
5. Experience
implementing retrieval -augmented generation (RAG) pipelines.
6. Hands -on
experience with Kubernetes and Docker.
7. Experience
working with SQL and NoSQL databases.
8. Familiarity
with public cloud platforms such as Azure, GCP, or AWS.
9. LLM Integration: OpenAI API, Azure OpenAI,