AI/ML Engineer - Google Cloud Platform
First seen by Alion on Jul 23, 2026.
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.
Skills
Artificial Intelligence, Machine Learning, Generative AI, RAG, Google Cloud Platform, OpenAI, LLM, Vertex AI