Production AI Engineer: Agents & Governance

The Consensus; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

The Consensus is hiring for a software engineer to help build the AI agent ecosystem that powers enterprise workflows. You will own end-to-end features, from tool harnesses to sub-agents, enabling agents to call tools and complete real tasks across systems.

Join a fast-growing team with a focus on production-readiness, strong API design, and a deep emphasis on governance, security, and scale. This on-site SF role offers competitive pay and equity as the company expands its platform.

Qualifications

• 4+ years of software engineering experience shipping production code.
• Strong Python and/or TypeScript.
• Experience building and consuming APIs at scale - REST, auth flows, pagination, and the messy parts of real-world integrations.
• A real desire to build the parts of this stack that don't exist yet - comfortable when the answer isn't known and you have to figure it out.
• LLM application experience - prompting, retrieval, tool use, or agent design.
• A testing mindset - tests and evals that catch real failures, not just green checkmarks.
• Comfort with ambiguity - early team, a narrow charter that will expand, decisions made with incomplete data.
• Stop-at-nothing energy to get the job done.

Responsibilities

• Build the systems that build systems - dedicated agent harnesses that write and maintain tools themselves, plus agents-as-tools (sub-agents) that let one agent call another as a capability.
• Take a job to be done and own delivering it - whether that's changes to the Arcade Engine, a new MCP, a new service, or something nobody's built yet.
• Build new toolkits and abilities - turn a vendor's API (or an internal need) into tools, skills, or agent abilities that get customers a real outcome, not just a demo.
• Fix the rough edges - when an agent hits a wall, figure out what's missing and build it, at the scale of every customer who'll hit that same wall.
• Maintain and improve the existing catalog - fix breakages, sharpen tool descriptions and response shapes, keep quality high as upstream APIs change.
• Build the next generation of evaluation and testing for abilities - go beyond pass/fail checks to know, programmatically, what a tool is actually doing across agents, models, and surfaces.
• Engage with and push the MCP ecosystem, where the standards for agent tools are still taking shape.

Skills

4+ years exp

Python

TypeScript

APIs at scale

LLM apps

Testing mindset

Ambiguity tolerance

Ownership

Job description

The Consensus is hiring for a software engineer to help build the AI agent ecosystem that powers enterprise workflows. You will own end-to-end features, from tool harnesses to sub-agents, enabling agents to call tools and complete real tasks across systems.

Join a fast-growing team with a focus on production-readiness, strong API design, and a deep emphasis on governance, security, and scale. This on-site SF role offers competitive pay and equity as the company expands its platform.