Agentic Infrastructure & Engineering Jobs

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213 of 472 matching · page 1 of 5

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TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

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213 of 472 matching · page 1 of 5

Applied AI Engineer, AI for Mistral
Mistral
Paris, France
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$175k–$265k/yr
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$99k–$225k/yr
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$138.5k–$173k/yr
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$114.1k–$171.2k/yr
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McLean, VA, United States
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$262k–$364k/yr
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Forward deployedMid-levelTop pickNew

Forward Deployed Agentic Engineer

GumloopVancouver, British Columbia, Canada

Posted today/Contract/$175k–$265k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The role directly builds and deploys production agents in enterprise customer environments, connecting their systems and data, then measuring adoption and business impact. It also feeds reusable deployment patterns and product feedback back to the agent platform team.

About the job

About Us

Gumloop is the multiplayer AI agent builder. We believe the people who know the work best should be able to automate it, and use what they build to help their whole team do more.

Anyone at a company can build, share, and optimize agents with any AI model and any integration. Teams can orchestrate those agents across their business, while IT keeps full control over data, access, and spend.

We're a small team building as fast as humanly possible. Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor are running agents on Gumloop across their company. We've raised over $70M from Benchmark, First Round Capital, Y Combinator, Nexus Ventures to scale and are looking for people who care as much as we do to join the team.

Here’s what life at Gumloop is like

Our beliefs – The Handbook
Our adventures – Wall of Photos
What our users are saying - Wall of Love
What we’re working on – Changelog

Role Overview

As one of Gumloop’s first Forward Deployed Engineers, you’ll be embedded with enterprise customers from day one to understand their business, identify how AI can solve their biggest problems, and build the agents to do it.

After a contract is signed, you’ll own technical delivery from discovery to deployment, combining hands-on building with practical AI strategy. The work is execution-first. You scope high-value AI opportunities with operators and executives, connect the systems those agents depend on, and measure success by adoption and business impact.

As an early member of the team, you’ll also help define how Gumloop partners with enterprise customers to change the way they work.

What You’ll Do

Work directly with customer teams and executives to identify and scope high-value AI opportunities.
Map the process, connect the systems, and structure the data so agents run reliably in the customer's environment.
Build, test, deploy, and iterate on Gumloop agents, and judge success by adoption and business impact.
Partner with Customer Success and Education to help customers take ownership, enable broad usage, and keep building without us.
Turn what you learn in deployments into reusable patterns and concrete feedback for Product and Engineering.
Travel to customer sites as needed, up to about 30%, and operate through ambiguity without waiting for a perfect spec.

What You Bring

~4+ years of technical experience, with a track record of shipping useful agents or connected systems past a prototype.
A technical foundation, ideally in Computer Science, Mathematics, Software Engineering, Data Science, or equivalent hands-on experience.
Experience deploying or implementing software in enterprise environments, including process mapping and working with customer data.
Comfort with JSON, JavaScript, Git, MCPs, and data-structure conversations, enough to build and debug in the field.
Clear communication with technical and non-technical audiences, from frontline users to executives.
Judgment under ambiguity: you pick the problem that matters and get hands-on rather than waiting to be scoped.
Willingness to travel up to 30% for work onsite with customers, flexible to fit your life.

Bonus

Experience in consulting, professional services, or implementation at a high-growth company.
Prior FDE, solutions engineering, or deployment-engineering work
Familiarity with agent tooling, MCP servers, and production LLM workflows.

Benefits

Highly competitive salary and meaningful equity
Generous paid time off: 24 days for SF employees and 20 days globally, use them as you need
$350/month wellness benefit to spend on gym, spa, equipment, or whatever keeps you at your best
15 days of temporary remote work flexibility per year
401k match up to 6%

Compensation Range: $175K - $265K

Stack

json
javascript
git
mcp

Agentic infrastructure, engineering and tooling jobs