Description

What's the Job?

• Design and develop AI applications using Python, LLMs, and enterprise APIs to support real-world business needs.
• Build and improve retrieval-augmented generation (RAG) pipelines, including document ingestion, embeddings, and vector search.
• Evaluate AI responses for accuracy, reliability, latency, and cost; troubleshoot issues and drive continuous improvements.
• Deploy and monitor AI services in cloud and on-prem environments while maintaining security and operational stability.
• Lead technical discussions, conduct code reviews, mentor engineers, and collaborate with business stakeholders to clarify requirements and prioritize delivery.

What's Needed?

• 5+ years of Python experience and 3+ years building production REST APIs.
• 2+ years developing LLM applications, including 1+ year working with RAG, embeddings, and vector databases.
• 2+ years leading solution architecture and engineering delivery.
• 3+ years deploying applications on cloud infrastructure.
• Experience resolving complex problems across multiple applications and supporting testing efforts through SIT and UAT for large, cross-functional initiatives

Key Skills

Education

Any Graduate