AI/ML Engineer
Core
Designing and deploying production-grade multi-agent Generative AI systems for enterprise clients to solve complex governance, risk, and compliance challenges.
Role type
Senior IC Generative AI Engineer (Multi-Agent Systems)
Builds
Production multi-agent GenAI systems, RAG pipelines, and AI governance solutions for Fortune 500 clients.
Domain
Enterprise AI, Governance, Risk, and Compliance (GRC), Generative AI
Deliverable
production ML models
Required skills
Python, LLM fine-tuning, prompt engineering, multi-agent orchestration, RAG pipelines, vector databases, MLOps, cloud platforms (AWS/Azure/GCP), API design, responsible AI practices
Preferred skills
Java or Go, LangChain, CrewAI, AutoGen, Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic APIs, persona catalog design, RCA methodologies, observability tools, regulated industry experience
Technologies
Python, Java, Go, GPT, Claude, Llama, FAISS, Pinecone, Weaviate, LangChain, CrewAI, AutoGen, AWS, Azure, GCP, Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic APIs
Responsibilities
Build and optimize data-driven AI models for analytics and decision support; Develop retrieval-augmented generation workflows; Design and integrate AI models into enterprise applications via APIs; Operationalize persona adaptation within agent flows; Enforce policy-bound behavior in enterprise contexts; Own end-to-end program delivery from design to hypercare
Seniority
Senior, hands-on IC
