Applied AI, LLM and generative AI engineering roles from companies building AI products, listed from their own career pages.
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Applied AI, LLM and generative AI engineering roles.
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Posted 23 hours ago
G2I
Remote
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We’re always meeting great people in tech. Join the G2i Talent Pool and let us get to know you. G2i works with top AI labs and fast-growing companies....
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Posted 1 day ago
Brighthire
Remote - US
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BrightHire is a category-creating, high-growth, Series B software company with a mission to give everyone the hiring experience they deserve. We deliv...
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Posted 1 day ago
Brighthire
Remote - US
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BrightHire is a category-creating, high-growth, Series B software company with a mission to give everyone the hiring experience they deserve. We deliv...
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterp...
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Posted 6 days ago
Digital Atals
Remote
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Comoro, Comoros (UTC+3)
Work Arrangement: On-site / Hybrid / Remote Department: Technology & Engineering Reports To: CTO / Technical Lead We are looking for a talented and ex...
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Posted 1 week ago
Brainco
San Francisco Bay Area
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Posted 1 week ago
Brainco
San Francisco Bay Area
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought...
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How it works
Career context
An AI engineer builds software around models: LLM-powered features, retrieval pipelines, agents, evaluation harnesses and the infrastructure that keeps them fast and affordable. The role sits between machine learning research and product engineering: most AI engineers write production code every day and rarely train models from scratch.
Companies hiring AI engineers want proof that you have shipped. A deployed feature with real users, an evaluation suite that caught regressions, a latency or cost number you improved: these say more than a list of frameworks. The roles below come from AI labs, AI-native startups and product companies adding AI to existing software.
Moving into the field? Read How to become an AI engineer: the skills that set profiles apart, three portfolio projects and an example 6-month plan.
Why RemoteAI
Some roles are posted here by the company, others link to the company's own job page. Closed roles are marked as closed, and there are no recruiter markups.
Roles are filtered to AI work. Each listing shows the company and links to its own job page.
No recruiter in the middle. Your application goes to the company making the decision, here or on its own job page. No markups.
Your profile, browsing and up to 20 applications a day are free. No placement fee, no share of your salary, no exclusive contract.
Jobs posted on RemoteAI show a pay range. Listings from company career pages show it when the company publishes one.
Remote and remote-friendly roles. Some require timezone overlap or a country, and the listing says where you can work from.
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
AI engineer listings often publish their pay range; each listing shows what the employer published.
Link a deployed AI feature, a repo with an evaluation suite, or a write-up with real numbers (latency, cost, accuracy). Shipped work beats certificates.
Which models, which retrieval approach, which serving setup, and why. Explaining trade-offs is what interviewers test.
Each listing links to the company's official application. Tailor the first lines of your profile to the role's product.
Profile guide
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Golden datasets, regression tests for prompts, LLM-as-judge with human checks. Teams that ship AI reliably all have this; few candidates show it.
Chunking, embeddings, hybrid search, reranking. RAG quality decides most LLM products.
Function calling, multi-step agents, guardrails and recovery when a tool fails.
Caching, batching, model routing, smaller models where they are enough. Every AI product team watches its inference bill.
Observability, rate limits, fallbacks, CI. AI engineers are software engineers first.
Knowing when AI is the wrong answer is as valuable as knowing how to build it.
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
Pipelines, ETL & data platforms
Ship AI solutions with customers
Alignment, evaluations & responsible AI
Junior roles & AI internships
Contract & freelance AI projects
FAQ
Everything you need to know before applying for your first AI engineer role.
Machine learning engineers usually train, tune and deploy models. AI engineers mostly build products on top of existing models: LLM features, retrieval, agents, evaluation and serving. The titles overlap, so read each listing: it says whether the job is closer to model training or to product engineering.
No. Most AI engineer roles ask for strong software engineering and hands-on experience building with models. Research-heavy roles at AI labs are the exception and say so in the listing.
Python, LLM APIs, retrieval (RAG) and vector search, evaluation, agents and tool use, plus general backend and cloud skills. Experience shipping to real users is the most common requirement.
They are listed as remote by the employer. Some limit remote work to certain countries or time zones: the location on each listing says where the company can hire.
Yes. Creating a profile, browsing and applying are free, and RemoteAI takes no cut of your salary.
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