? Hiring: Generative AI / LLM Engineer

Experience: 5–10 Years

Job Type: Full-Time

Work Mode: Hybrid

Location: Bengaluru / Pune

Job Description

We are looking for an experienced Generative AI / LLM Engineer to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate should have robust expertise in building scalable GenAI applications, Retrieval-Augmented Generation (RAG) pipelines, AI agents, and integrating LLMs into production environments. Common enterprise requirements include Python, LLM orchestration frameworks, cloud AI platforms, and production deployment experience.

Key Responsibilities

* Design and develop Generative AI applications using LLMs.

* Build and optimize RAG-based solutions using vector databases.

* Develop AI Agents and Agentic AI workflows.

* Create scalable APIs and backend services using Python/FastAPI.

* Integrate OpenAI, Azure OpenAI, or other foundation models into enterprise applications.

* Implement prompt engineering, fine-tuning, and model evaluation strategies.





* Work with LangChain, LangGraph, LlamaIndex, and Semantic Search.

* Collaborate with cross-functional teams to deliver AI-driven solutions.

* Optimize AI models for scalability, latency, and performance.

Required Skills

* Strong Python programming skills.

* Hands-on experience with Generative AI and Large Language Models (LLMs).

* Experience with RAG (Retrieval-Augmented Generation).

* AI Agents & Agentic AI.

* LangChain, LangGraph, LlamaIndex.

* OpenAI / Azure OpenAI APIs.

* Prompt Engineering.

* Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.).

* Semantic Search & Embeddings.

* REST APIs / FastAPI.

* Git and CI/CD.

* Experience with Azure, AWS, or GCP is preferred.

Preferred Qualifications

* Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.

* Strong problem-solving and communication skills.

* Experience work

📌 Generative AI LLM Engineer (Bengaluru)
🏢 Fastra
📍 Bengaluru