Senior AI Agent Engineer

AI/ML Engineer responsible for building and deploying production-grade AI and multi-agent systems. Develop LLM-based applications, AI algorithms, RAG pipelines, and intelligent automation solutions. Build multi-agent workflows using Lang Graph, CrewAI, Llama Index, or equivalent frameworks. Develop backend services using Python, FastAPI, or Flask with async/concurrent programming. Design and product ionize RAG systems using embeddings, vector databases, chunking, retrieval, and reranking. Deploy AI services on Google Cloud Platform (GCP) using technologies such as Big Query, Cloud Run/GKE, Vertex AI, and Pub/Sub.

Implement LLM evaluation, observability, tracing, guardrails, and prompt-injection protection. Build secure NL-to-SQL solutions with validated, least-privilege SQL execution. Implement CI/CD, Docker, Kubernetes, and infrastructure automation for production deployments. Optimize AI model cost, latency, and performance through model routing, caching, and tiered processing. Collaborate with data scientists to convert AI/ML prototypes into scalable and monitored production services. 4+ days onsite/hybrid work environment.