Senior AI Engineer
Core
Design, build, and ship production-grade agentic AI systems that make tool calls into enterprise services and APIs to deliver secure, scalable results.
Role type
Senior IC Generative AI & ML Engineer (Agentic Systems)
Builds
Agentic AI systems, tool-calling layers, high-performance Python backend services, retrieval systems (RAG/Graph-RAG), and LLMOps pipelines.
Domain
Financial services / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python (async, microservices), API design and integration, LLM orchestration, agent architecture (LangGraph, CrewAI, AutoGen), vector databases, knowledge graphs, cloud platforms (AWS), MLOps/LLMOps, team leadership.
Preferred skills
Model Context Protocol (MCP), agent performance evaluation, fine-tuning (LoRA, PEFT, RLHF), multimodal models.
Technologies
LangGraph, CrewAI, AutoGen, FastAPI, Pinecone, pgvector, OpenSearch, Neo4j, AWS Neptune, Databricks, MLflow, AWS SageMaker, Bedrock.
Responsibilities
Architect and build the tool-calling layer for agents; Engineer reliable tool execution at scale; Develop high-performance Python backend services for LLM orchestration; Engineer state, memory, and context management subsystems; Architect multi-agent and skills-based agent systems; Build observability for agent behavior; Build retrieval systems (RAG and Graph-RAG); Establish LLMOps and MLOps pipelines; Design multimodal generative AI pipelines; Guide fine-tuning and alignment strategies; Implement Responsible AI practices; Lead, mentor, and grow a team of engineers.
Seniority
Senior, hands-on IC with leadership responsibilities
