Location: Bangalore (Hybrid)
Experience: 4–8 Years
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.
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Design and develop autonomous AI agents and multi-agent workflows.
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Build LLM-powered applications using prompt engineering, function calling, and structured outputs.
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Develop Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.
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Build AI solutions for candidate matching, resume understanding, skills extraction, job understanding, and intelligent recommendations.
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Develop semantic search, embeddings, and knowledge graph-based solutions.
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Optimize AI models for accuracy, latency, scalability, and cost.
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Collaborate with Product and Engineering teams to deploy production-grade AI applications.
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Strong proficiency in Python.
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Experience with LLMs, Agentic AI, RAG, Prompt Engineering, NLP, and Embeddings.
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Hands-on experience with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
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Experience with vector databases like Pinecone, Weaviate, Milvus, Qdrant, or FAISS.
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Familiarity with FastAPI, REST APIs, Docker, Kubernetes, Git, and cloud platforms (AWS, Azure, or GCP).
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Experience deploying AI applications in production environments.
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Experience in HRTech, SaaS, or enterprise AI products.
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Exposure to knowledge graphs, MLOps, AI evaluation frameworks, and Responsible AI practices.
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Familiarity with MCP (Model Context Protocol) and modern AI orchestration frameworks is a plus.
Be part of a team building cutting-edge AI solutions that are transforming how enterprises discover, assess, hire, and develop technology talent.
