NON-NEGOTIABLE: Apply ONLY if you have 6–8 years total experience with 4+ years of Python, 2+ years deploying production RAG/Agentic systems (LangGraph/MCP), proficiency in Docker & Kubernetes, min 2 years per organization stability, and 100% immediate readiness for full-time Work-From-Office in Pune.

? Job Title: AI Engineer

? Experience Required: 6 to 8 Years

? Location: Pune, Maharashtra, India

⚠️ MANDATORY CRITICAL MATCH CRITERIA (READ FIRST):

✅ Experience: 6–8 years total software engineering experience, including 4+ years of dedicated Python programming and 2+ years building production AI/LLM applications. Minimum 2 years continuous tenure per employer required (strict job-stability filter).

✅ Education: BE / B.Tech / ME / M.Tech / MCA / MSc (Computer Science).

✅ Core Skills: End-to-end production RAG pipelines, advanced retrieval/vector search, and agentic workflows (LangGraph, Semantic Kernel, or MCP servers/clients).

✅ Software/Tools: Python, FastAPI/Flask, LangGraph/Semantic Kernel, Vector DBs, Docker, Kubernetes, AWS/Azure/GCP, CI/CD.

✅ Communication: Exceptional English proficiency for cross-functional technical syncs and architectural reviews.

✅ Logistics: 100% strictly Work-from-Office (WFO) in Pune.

➡️ Position Overview

Architect, deploy, and scale production-grade GenAI applications and agentic systems integrated with enterprise backends.



You will own high-performance RAG pipelines and scalable microservices, ensuring enterprise security, low latency, and robust observability.

? Core Responsibilities

✔️ Production RAG & Search: Architect end-to-end production retrieval pipelines leveraging vector databases, hybrid search, and semantic re-ranking.

✔️ Agentic AI Systems: Build autonomous agents and tool-calling workflows using LangGraph, Semantic Kernel, or Model Context Protocol (MCP).

✔️ Microservices & APIs: Design scalable RESTful/gRPC APIs and microservices in Python for real-time model inference and integration.

✔️ Containerization & Cloud Ops: Deploy, monitor, and scale AI workloads on AWS/Azure/GCP using Docker, Kubernetes, and automated CI/CD.

✔️ Security & Observability: Enforce AI/web security standards, prompt evaluation benchmarks, and comprehensive telemetry for production systems.

How to Apply

? If you meet the requirements outlined in the and are interested in this chance, please email your resume to [email protected], mentioning your Current CTC, Expected CTC, and Notice Period. Alternatively, Applications with incomplete responses or profiles failing to meet baseline experience metrics will be filtered automatically.

#AIEngineer #GenerativeAI #Python #RAG #MachineLearning #PuneJobs

📌 AI Engineer - GenAI, Production RAG & Agentic Systems (WFO - Pune)
🏢 Amrapali Solutions
📍 Pune