Senior Applied AI Engineer – Agent Runtime (Alwin by DataSnipper)

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DataSnipper is hiring a Senior Applied AI Engineer for the Agent Runtime team behind Alwin, its agentic automation platform for audit and finance. The role owns the applied AI layer of the runtime, covering agent reasoning, tool use, context management, evaluation, observability, and production quality. You will ship agent capabilities end-to-end, from prototyping with audit domain experts to production, while optimizing accuracy, latency, and token cost.

• Own base agents: system prompts, context engineering, memory, and state management for long multi-turn tasks
• Design the agent tool layer including document extraction, retrieval, code/file sandboxes, and MCP integrations
• Implement agentic patterns such as sub-agent composition, planning modes, human-in-the-loop gates, and multi-provider model routing
• Ship features end-to-end from prototype through evaluation to production on Alwin
• Build automated processes that continuously improve agents over time
• Extract signal from long agent trajectories, classify failure modes, and drive fixes
• Optimize accuracy, latency, and token cost with explicit trade-offs
• Instrument agent behavior with the observability stack and use production traces to drive improvements
• Partner with Agent Experience, Document Intelligence, and AI Platform teams to build self-service runtime capabilities
• Evaluate new models, techniques, and agent patterns and bring validated ones into production

• Experience building and shipping LLM-powered agent systems in production
• Strong software engineering skills with end-to-end ownership from prototype to production
• Hands-on experience with prompt engineering, context management, and tool/function calling
• Familiarity with evaluation, observability, and failure-mode analysis for AI systems
• Ability to reason about cost, latency, and quality trade-offs in AI workflows

• Experience with MCP integrations and multi-provider model routing
• Background in document extraction or retrieval systems
• Experience in audit, finance, or other regulated domains