Job Description – 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 settings.

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 up-to-date 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.

📌 Ai Engineer Pune
🏢 Prismforce Private
📍 Pune