GenAI Engineer (Pune)

GenAI Engineer (Pune)

10 Aug
|
Persistent Systems
|
Pune

10 Aug

Persistent Systems

Pune

About Position:

We are conducting an in-person hiring drive for the position of GenAI / Agentic AI Engineer. The walk-in interview will be held in Pune on 8th August 2026 at the location mentioned below:

Walk-in Drive Location: Persistent Systems Aryabhata-Pingala 9A/12, Kashibai Khilare Marg, Erandawana, Pune 411004

Date: 8th August 2026

Timing: 9AM to 3PM

We are seeking a skilled GenAI & Agentic AI Engineer with robust experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as Crew AI, AutoGen, Lang Graph, or Lang Chain Agents.

Role: GenAI Engineer
Job Location: Pune
Experience: 5+ Years
Job Type: Full-Time Employment

What You'll Do:

Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.




Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
Integrate LLMs with enterprise applications, APIs, and automation workflows.
Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Expertise You'll Bring:

5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
6+ months of hands‑on experience

📌 GenAI Engineer (Pune)
🏢 Persistent Systems
📍 Pune

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