Experience:
5+ Years

Location:
Remote (India)

About the Role

We are looking for an experienced Senior AI Engineer
to design, build, and deploy production-grade Generative AI solutions. In this role, you will lead the development of
RAG pipelines, agentic workflows, and enterprise-grade LLM applications
, owning AI features end-to-end, from solution architecture and implementation to deployment, optimization, and continuous improvement.

You will collaborate with cross-functional teams, mentor junior engineers, and drive the adoption of scalable AI solutions across enterprise use cases.

Core Skills
- LangGraph / CrewAI
- RAG Architecture
- Pinecone / pgvector
- Fine-tuning (LoRA)
- MLflow
- Evaluation Frameworks
- System Design
- Docker

Key Responsibilities
- Architect and develop multi-step RAG pipelines with chunking, embedding, and retrieval strategies.
- Build, deploy, and maintain agentic workflows for intelligent automation.




- Design evaluation and regression testing frameworks to measure and improve AI model performance.
- Optimize LLM response latency, inference efficiency, and API costs in production environments.
- Fine-tune open-source language models for domain-specific enterprise use cases.
- Mentor junior engineers, conduct AI code reviews, and establish engineering best practices.

Requirements
- 5+ years of experience in Backend Development, AI Engineering, or Machine Learning.
- Proven experience delivering GenAI features or AI-powered products to production.
- Robust hands-on experience with embedding models, vector databases, and semantic search.
- Deep understanding of LLMs, tokenization, context windows, and prompt engineering.
- Strong API development, backend architecture, and system design expertise.

Ready to shape the future of Enterprise AI? Apply now

📌 Senior AI Engineer (Faridabad)
🏢 TantranZm
📍 Faridabad