Forward Deployed Agent Engineer
Nice to have's
Job description
About the Position
Forward Deployed Agent Engineer
MING Labs is seeking a Senior Forward Deployed Agent Engineer to join our team. This role is ideal for someone who can embed within client engagements, transforming complex business problems into AI agents that deliver real results. You will work closely with clients in industrial, energy, and finance sectors, ensuring that the agents you build are accurate, trustworthy, and effective.
Responsibilities
Decomposition & Scoping
- Translate a client's problem into an agent specification grounded in the outcome, not the tech stack.
- Define responsibilities, decision-authority tiers, data flows, and measures that prove it works.
- Make the hard scoping calls: what becomes a reusable skill, what is a scheduled job, what stays with the model, and where a human stays in the loop.
Build & Ship
- Engineer the skills, prompts, and context that make the client's agent reliable and make depth and sourcing its default behavior.
- Integrate the agent with the client's real systems, data, and workflows.
- Iterate against real use until the agent is trusted, not just demonstrable.
Validation & Evidence
- Validate against the client's own reference and real data. Real-data runs and accuracy gates beat passing tests.
- Catch and purge fabrication, drift, and looks-right-but-isn’t output, in the agent and in your own status reports. "Done" without evidence is not done.
Governance in the Field
- Set the agent's escalation tiers, autonomy levels, and human gates per stakeholder and per risk class.
- Build the audit trail and disclosure behavior a client can defend internally.
Client Delivery
- Hold trust in the room. Judge what to surface and what to escalate.
- Communicate clearly with technical and non-technical stakeholders alike.
- Write clean specs, role briefs, and client-facing artefacts.
Productise Back
- Turn bespoke client solutions into reusable patterns and runbooks.
- Feed platform requirements and recurring needs back to the platform team.
Requirements
- Evidence-first discipline: You verify at the code and output level, you distrust your own "done", and you would never let an unverified claim reach a client.
- Scoping and validation judgment: You know what to turn into a skill, and you measure an agent against the client's real benchmark, not a vibe.
- Strong skill, prompt, and context engineering: Applied craft, not trial-and-error.
- Genuine business literacy: You start from "what is the outcome, and who owns this agent?", with the stakeholder poise to carry it in front of enterprise clients.
- A working security discipline in the field: Least privilege, credential isolation, never handing an agent more than it should hold.
- High agency in messy environments: You ship where the ground is uneven, with the judgment to run an engagement build largely unsupervised.
Nice to Have
- B2B enterprise or consulting exposure (industrials, energy, finance)
- German (a real advantage in our client rooms)
- Experience taking bespoke solutions to repeatable patterns
We Offer
- Real ownership of whole client agents, end to end.
- Frontier client work, embedding the first agents into demanding enterprises with real outcomes on the line.
- A founder who works the engagements with you, and a platform team that builds the tooling so your time goes to the client's problem, not the plumbing.
- A founding role on a new function, with a clear path to lead the field team.
- A varied client base and a front-row seat to how serious enterprises actually adopt AI.
- Flexible, location-open working.
About the Company
We are a small, senior team building the operating model for organizations where humans and agents share the org chart. The forward-deployed role is where that stops being a thesis and becomes working software inside a real company, built and proven by you. If you want to ship at the frontier, own outcomes, and define a role that barely exists yet, this is it.
Apply
Think this is you? Send the AR department your work: a link to what you've built, and a few sentences on what you'd build with us. We read everything, and reply to the ones we'd want to work with.
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