Experience : 7+ years.

Preferred Locations : Chennai and Coimbatore.

Skills : Strong hands-on experience in AI/ML and Generative AI technologies.

Job Description :

- Build LLM agent systems with tool use, memory, and multi-step orchestration, handle retries, timeouts, and graceful degradation.

- Implement full RAG pipelines : PDF/document/SCORM/Audio/Video file parsing, chunking strategies, embedding generation (OpenAI, or Vertex AI embeddings), and vector storage.

- Build retrieval optimization layers either with hybrid search or cross-encoder re-ranking.

- Develop file ingestion and transfer pipelines using GCP Cloud Storage, Pub/Sub triggers, and Cloud Functions or Cloud Run for async processing (Good to have GCP or Azure).

- Productionize pipelines with latency SLOs, token cost tracking, output validation (Guardrails AI, custom classifiers), and model versioning.

- Build eval frameworks using RAGAS, custom LLM-as-judge pipelines, or human feedback loops to measure retrieval quality, faithfulness, and answer relevance.

- Instrument AI pipeline observability trace LLM calls, log retrieved chunks, monitor embedding drift, and alert on quality regression.