Lead AI Engineer

Requirements

Must have:

- 12 years overall software engineering experience with 3 years hands-on in AI/ML/GenAI, including production deployments. - Strong system design and scalable architecture skills for AI-first applications and platforms. - Hands-on expertise with LLM orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel). - Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector). - Proficiency in Python (primary) and at least one of JavaScript/TypeScript or Java. - Solid foundation in cloud (AWS/GCP/Azure), Docker/Kubernetes, and CI/CD. - Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. - Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). - Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM, key management).

Responsi...