Senior AI Engineer

📋 Description

• Embed and deploy AI agents; tackle greenfield problems with customers.
• Own end-to-end deployments: discovery, build, integration, activation, tuning.
• Lead pilots and demos; drive adoption; clear blockers.
• Architect agentic systems: reasoning, planning, tool use, and multi-agent coordination.
• Build safe tool-use infrastructure across APIs, with permissioning and sandboxing.
• Ship SDKs, patterns, and reusable blueprints to accelerate agent development.

🎯 Requirements

• 5+ years software eng; 3+ years in AI/LLM; production systems shipped end-to-end.
• Strong grasp of LLM agent architectures (ReAct, RAG) and orchestration.
• Python across pipeline, agent, service, instrumentation.
• Production experience on AWS and Azure with Docker and Kubernetes.
• Strong stakeholder instincts; able to impose structure on ambiguity; shipping bias.
• Solid understanding of agentic security risks (prompt injection, data leakage).

🎁 Benefits

• Agentic systems in regulated industries (fintech, payments, credit, healthcare).
• Cloud AI/ML services (AWS SageMaker/Bedrock, Azure ML) with multi-cloud.
• Model serving (vLLM/TensorRT-LLM/Triton); fine-tuning, quantization, LoRA.
• Workflow orchestration (Temporal, Airflow, Prefect) for AI workloads.
• Testing and verification for non-deterministic AI systems.