AI Engineer

Prismforce; Pune District; Vor Ort; INR 250.000 - 400.000; Vollzeit

Zusammenfassung

Prismforce is seeking an AI Engineer (Agentic AI) to design autonomous AI agents and build scalable AI systems that automate enterprise workflows. You will work on LLM-powered applications, RAG pipelines, and knowledge-graph-based solutions to power talent acquisition and skills intelligence.

Join a team building enterprise-grade AI for candidate matching, resume understanding, and intelligent recommendations, with a focus on performance, latency, and cost optimization across cloud deployments.

Qualifikationen

• Strong proficiency in Python.
• Experience with LLMs, Agentic AI, RAG, Prompt Engineering, NLP, and Embeddings.
• Hands-on experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen.
• 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.

Aufgaben

• 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.

Kenntnisse

Python

LLMs & Agentic AI

AI frameworks

Vector databases

DevOps & Cloud

Production deployment

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

Pinecone

Weaviate

Milvus

Qdrant

FAISS

FastAPI

REST APIs

Docker

Kubernetes

Git

AWS

Azure

GCP

Jobbeschreibung

Job Description – AI Engineer (Agentic AI)

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

• Strong 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.