Forward Deployed Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
160K-200K Annually
Senior level
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Professional Services • Software • Consulting
We solve technology problems with people. AI-native specialists, screened by operators who've done the work.
The Role
The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.
Summary Generated by Built In

Forward Deployed Engineer Location: Remote (US) | Type: Full Time | Experience: 7+ years | Pay: $160K-$200K

About the Role You'll embed directly with a client team and start shipping in week one, not month three. Forward Deployed Engineers at Elios sit inside the client's stack, learn their constraints fast, and build the integrations, migrations, and AI features that move a stalled project forward.

This is hands-on work for someone who likes being the person in the room who can actually build. One week you're wiring up a retrieval pipeline against messy production data, the next you're untangling a legacy migration nobody else wanted to touch.

If you've spent years watching slide decks promise transformation while the engineering never lands, this is the opposite of that. You build, you ship, you own the result.

What You'll Do

  • Embed with client engineering teams and get productive in their codebase within days
  • Design and build production AI features: RAG pipelines, agentic workflows, and model serving that holds up under real latency and cost
  • Take on the integration and migration work that unblocks the rest of the roadmap
  • Translate vague business goals into something concrete you can ship
  • Pair with client engineers so the capability stays after you roll off
  • Flag the hard truths early when an approach won't hold, then bring the fix

Qualifications

  • 7+ years building and shipping software in production, not just prototypes
  • Strong with at least one of Python, TypeScript, or Go, and quick to pick up others
  • Real experience deploying AI or ML systems, whether LLM applications, MLOps, or data infrastructure
  • Cloud depth in AWS, Azure, or GCP, plus containers and Kubernetes
  • You communicate like a consultant and build like an engineer
  • Comfortable in ambiguity and in front of clients

Why Join Us Elios solves technology problems with people. We pair senior technologists with companies building on AI, and we screen the way we'd want to be screened: engineers evaluating engineers. Our platform handles the busywork so you spend your time on the parts that need judgment.

We're early and growing fast. You'll have real ownership, a team that tells the truth, and no bench to sit on between projects.

To apply, click Apply on LinkedIn and visit eliosai.com/browse-jobs

Skills Required

  • 7+ years building and shipping software in production
  • Strong with at least one of Python, TypeScript, or Go
  • Real experience deploying AI or ML systems
  • Cloud depth in AWS, Azure, or GCP
  • Experience with containers and Kubernetes
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The Company
HQ: Houston, Texas
19 Employees
Year Founded: 2025

What We Do

Elios solves technology problems with people. We're a Houston-based, AI-native talent company that pairs senior technologists with the companies building what's next: IT services firms, private equity portfolios, and enterprises modernizing on AI. We deliver consulting-grade quality at staff-augmentation economics through two models. Specialists on Demand puts senior technologists in front of clients in 24 to 48 hours. Co-Managed Teams are purpose-built micro-practices our senior staff designs and co-manages alongside the client. Our platform, Elios Insights, and our AI copilot, Prism, handle sourcing and pattern matching so our people focus on judgment, fit, and the context algorithms miss. AI is our cost engine. The humans make us right.

Why Work With Us

Engineers evaluate engineers. We've been the buyers: operators who ran the P&L and waited weeks for unvetted resumes, then built Elios to fix it. AI is our cost engine; our people make the calls. We're early, growing fast, and building a direct, high-trust place where you own real outcomes from day one.

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