– AI Engineer (Agentic AI)

Location: Bangalore (Hybrid)

Experience: 4–8 Years

About the Role

Prismforce is looking for an AI Engineer (Agentic AI) to build next-generation AI solutions that power intelligent talent acquisition and skills intelligence. You will design autonomous AI agents, develop LLM-powered applications, and build scalable AI systems that automate complex enterprise workflows.

Key Responsibilities

- Design and develop autonomous AI agents and multi-agent workflows.

- Build LLM-powered applications using prompt engineering, function calling, and structured outputs.

- Develop Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.

- Build AI solutions for candidate matching, resume understanding, skills extraction, job understanding, and intelligent recommendations.

- Develop semantic search, embeddings, and knowledge graph-based solutions.

- Optimize AI models for accuracy, latency, scalability, and cost.

- Collaborate with Product and Engineering teams to deploy production-grade AI applications.

Required Skills





- Robust proficiency in Python.

- Experience with LLMs, Agentic AI, RAG, Prompt Engineering, NLP, and Embeddings.

- Hands-on experience with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar.

- Experience with vector databases like Pinecone, Weaviate, Milvus, Qdrant, or FAISS.

- Familiarity with FastAPI, REST APIs, Docker, Kubernetes, Git, and cloud platforms (AWS, Azure, or GCP).

- Experience deploying AI applications in production environments.

Preferred Qualifications

- Experience in HRTech, SaaS, or enterprise AI products.

- Exposure to knowledge graphs, MLOps, AI evaluation frameworks, and Responsible AI practices.

- Familiarity with MCP (Model Context Protocol) and modern AI orchestration frameworks is a plus.

Why Join Prismforce?

Be part of a team building cutting-edge AI solutions that are transforming how enterprises discover, assess, hire, and develop technology talent.

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