Forward deployed and customer-facing AI engineering roles at AI labs and AI-native companies — listed from their own career pages.
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Customer-facing AI engineering roles. Updated daily.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Posted 9 hours ago
Who We AreOur mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the soft...
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Posted 10 hours ago
The RoleAs a Forward Deployed Engineer at Nous Research, you'll deploy and adapt Hermes Agent Enterprise inside complex customer environments. You'll...
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Posted 23 hours ago
Forward Deployed Researcher Prolific Prolific is not just another player in the AI space, we are the architects of the human data in...
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Posted 1 day ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search ha...
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Posted 1 day ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 2 days ago
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of invent...
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Posted 3 days ago
About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at...
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Posted 3 days ago
About ChalkChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale ba...
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Career context
Forward deployed engineers (FDEs) sit with customers and turn an AI platform into working solutions: integrating data and systems, building agents and workflows, debugging in production and feeding what they learn back to the product team. The role was popularised by Palantir and is now one of the fastest-growing jobs at AI labs and AI startups.
It suits engineers who like both code and people: you scope problems with customers, build quickly, and own the outcome. The roles below come from AI companies' own career pages.
Why RemoteAI
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
FDE roles pay like senior software engineering, often with travel or customer-site expectations. Each listing shows the employer's published range and location rules.
A project you scoped with a user, built, deployed and supported. FDE interviews test the whole loop.
APIs, data pipelines, auth, legacy systems — most FDE work is connecting the AI to what customers already have.
Check location and travel expectations on each listing.
Profile guide
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Explaining trade-offs to non-engineers and turning vague needs into specs.
Prototypes in days: backend, a simple UI, data plumbing.
Retrieval, tool use, evaluation — the building blocks of most AI deployments.
Calm, methodical work when a customer system breaks.
FDEs are judged on customer outcomes, not tickets closed.
Turning field problems into clear requests for the core product team.
Explore more roles
Production ML, deep learning & AI infrastructure
RAG pipelines, agentic systems & generative AI
Analytics, forecasting & applied ML
ML infrastructure, model serving & CI/CD
Language models, transformers & text AI
AI-native product strategy & roadmap
Image AI, object detection & edge deployment
AI agents, n8n & workflow automation
LLM evaluation, RAG & prompt optimization
AI tutoring, RLHF & red teaming
Labeling, rating, evaluation & transcription
Applied AI, LLM & generative AI products
Pipelines, ETL & data platforms
Alignment, evaluations & responsible AI
Junior roles & AI internships
Contract & freelance AI projects
FAQ
Everything you need to know before applying for your first forward deployed engineer role.
A forward deployed engineer is a software engineer who works directly with customers to deploy and adapt a company's platform — today usually an AI platform — building integrations, workflows and custom solutions until it delivers results.
Solutions engineers mostly support sales with demos and technical answers. Forward deployed engineers write production code for customers after the sale and own the deployment's success.
Many are remote with occasional customer travel; some require a region or on-site weeks. Each listing states the employer's location rules.
Yes. Profiles, browsing and applying are free.
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Create a free profile in 5 minutes. Apply directly to hiring teams — no recruiters, no placement fees, no exclusive contracts. You keep 100% of your salary.