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AI/ML On-site

Senior Software Engineer, Agentic Platforms

Job Overview

The agentic layer (NL intake, agentic trouble-shooting, task orchestration, auto-research loop) is an important component, but the foundation of this role is strong software engineering: designing robust distributed systems, building reliable services and…

Key points

  1. Design, build, and operate production-grade platform services and infrastructure with strong reliability, observability, and performance.

  2. Identify manual, repetitive engineering workflows and eliminate them through self-service automation on the platform.

  3. Build and evolve the agentic layer: agent lifecycle, tool/MCP integrations, sandboxed execution, multi-agent workflows.

  4. Design the semantic data layer that grounds agents: model our systems, workflows, and decision data as connected objects and tools that agents can query…

  5. Master's degree in Computer Science, Software Engineering, or related fields.

  6. Proficiency in Python and TypeScript; solid grasp of databases, message queues, caching, and API design.

  7. A builder's instinct for automation: a track record of turning manual processes into tools, pipelines, or self-service systems.

  8. Hands-on experience with modern AI coding tooling and LLM APIs, including tool use/function calling.

Skills

LLMsPythonTypeScriptMachine LearningRoadmappingCommunication

Experience: Senior-level · 5+ years

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