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Forward Deployed Engineer, Early Career

Join Endeavor as a Forward Deployed Engineer to solve complex customer issues using AI in a dynamic, hands-on role.

Location
Chicago
Compensation
Not disclosed
Level
junior
Type
full time

Posted by employer 3 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Endeavor → Save job Scanned from endeavor.ai

Skills & Technologies

AI in the day-to-day

We build the last-mile delivery for AI models, leveraging business-critical data and advancements in AI.

Requirements

Education
Bachelor's degree

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In the role of Forward Deployed Engineer at Endeavor, the individual engages directly with clients to identify and address their most pressing challenges, crafting tailored solutions that utilize advanced AI technologies. Key skills include a strong engineering background, proficiency in programming languages like Python or C++, and the ability to think critically and adapt in dynamic environments. This position is ideal for early-career professionals with a solid foundation in technical disciplines such as Computer Science or Data Science, who are eager to make a tangible impact in a fast-paced, innovative setting.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Endeavor's careers page October 31, 2026.
  • Python appears in 50.8% of 65 comparable junior ai/ml roles; JavaScript appears in 7.7% of 65 comparable junior ai/ml roles.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: C++, JavaScript, Python, TypeScript.
What seniority level is this role?
Endeavor targets junior candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineer, Early Career role at Endeavor.

From the original posting

Endeavor is real-world enterprise AI.

AI models are improving faster than most companies can put them to work. Endeavor closes that gap.

We exist to secure American industrial leadership. AI is the largest advantage available to the companies that make, move, and defend things in this country, and most of them can't reach it alone. We close that distance — so their customers pay less, their people do work worth doing, and the companies themselves come out stronger than the competition abroad.

To do that, we build custom AI systems for companies in mission-critical industries — manufacturing, distribution, supply chain, defense, life sciences. Not software they rent from a vendor that doesn't understand their business. Systems they own, built inside their own stack, in production in weeks.


Operating Principles

  • One team, one fight. Small companies fail for a hundred reasons. Being internally misaligned shouldn't be one of them. We think like owners of the whole business — the question is always how we win. We're fighting the world, not each other.

  • Strong convictions, loosely held. Show up with a point of view and hold that view loosely enough that better evidence can move it. The best ideas come from candor and debate.

  • Default to open. Our clients trust us with their hardest problems and we extend that same trust internally. Information here is open by default — data, context, the reasoning behind decisions — because you can't own an outcome you can only see half of.

The Role | Forward Deployed Engineer

Forward Deployed Engineers work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. As a FDE, your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects.

What We Require

  • High agency, slope, and chaos ceiling with strong first principles thinking, outcome orientation, and resiliency.

  • Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.

  • Proficiency with one or more programming languages, such as Python, C++, TypeScript/JavaScript, or similar.

  • Must be graduating in 2026 or before.

  • Ability to travel.

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