Senior AI Engineer
Core
Design, build, and ship agentic systems (reasoning, planning, tool use, multi-agent coordination) into production environments for risk, fraud, collections, payments, and support teams.
Role type
Senior IC AI Engineer (Agentic Systems)
Builds
Agentic systems, AI inference platform (Pi), agentic runtime, orchestration, and tooling for multi-step workflows.
Domain
Fintech / Payments / AI Systems
Deliverable
production ML models
Required skills
LLM agent architectures (ReAct, RAG, tool use, multi-agent), agentic orchestration and evaluation, Python, AWS and Azure, containerized deployments (Docker, Kubernetes), agentic security (prompt injection, privilege escalation, data leakage), multi-model inference (text, voice, code, vision)
Preferred skills
Regulated industry experience (fintech, payments, credit, healthcare), cloud AI/ML services (AWS SageMaker/Bedrock, Azure ML/OpenAI), MCP or agent communication standards, model serving (vLLM, TensorRT-LLM, Triton), fine-tuning, quantization, LoRA, workflow orchestration (Temporal, Airflow, Prefect), testing for non-deterministic AI systems
Responsibilities
Scope ambiguous needs and build agents from scratch; own deployments end-to-end (discovery, build, integration, activation, tuning); architect agentic systems with guardrails; build safe tool-use infrastructure; ship SDKs and reusable blueprints; design and run rigorous evals; build observability and tracing; own multi-model inference; set technical direction and mentor engineers
Seniority
Senior, hands-on IC