Software Engineer, Forward Deployed Agent Builder

Responsibilities

• Embed with partner teams to deeply understand workflows, including shadowing and learning different job functions.
• Scope, design, and deploy agents that take over real workflows across internal orgs.
• Integrate agents with internal systems, APIs, and data sources.
• Define evaluation frameworks, success metrics, and feedback loops to measure and improve agent performance.
• Build shared tooling and contribute to playbooks that accelerate deployments, while owning reliability, adoption, and business impact.

Requirements

• 4+ years in engineering, technical product/program management, applied AI, or a similar technical role, with a track record of shipping AI/automation systems to production.
• Hands-on experience building with LLMs, agent frameworks, and tool-use patterns (e.g., MCP, function calling, RAG) across the full stack (data, APIs, orchestration, product).
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design.
• Strong ability to decompose human workflows into scalable, agentic systems, grounded in a deep curiosity for how people work.
• High ownership and cross-functional influence, with the ability to quickly build trust across teams and seniority levels.

Nice-to-haves

• Experience automating back-office functions rather than just customer-facing AI features.
• Experience with OpenClaw, Hermes, or other general-purpose agent harnesses.

Compensation

Expected salary range: $152,000 - $240,000 base pay (depending on location, skills, experience, market demands, and internal pay parity). Equity and other compensation may be provided.