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.