Hiring Now
AI Product Engineer Jobs Hiring Now (April 2026)
AI product engineers ship user-facing features built on top of large language models and other AI primitives. The role blends full-stack engineering with hands-on prompt design, RAG pipelines, evals, and the operational realities of LLM-backed systems.
AI Product Engineer market snapshot
Live from PrismCV's job catalog. Salaries reflect postings that publish a range; remote share excludes postings without a location tag.
AI product engineer is one of the newest titles in tech, only really emerging at scale in late 2023 as LLM-backed product features moved from prototype to production. The job market for the role is small but growing fast. Expect significant variance in what companies actually mean by the title — read the team description, the technical stack, and the actual responsibilities, not the title.
Three lanes have emerged. AI-native product companies (Anthropic, OpenAI, Cursor, Perplexity, Notion) hire AI product engineers to ship the core product surfaces of LLM-backed features at scale. AI-augmented product teams at established companies (Linear, Figma, Notion non-AI surfaces, Stripe, Atlassian) hire AI product engineers to add LLM features to existing products. AI infrastructure companies (Vercel AI SDK, LangChain, LlamaIndex, Braintrust) hire AI product engineers to build the developer-facing tooling that other companies use. The lane you pick determines the kind of work you do day-to-day.
Compensation in 2026 is among the highest in the industry. A senior AI product engineer at an AI-native company typically lands $250k–$420k total comp; staff and principal push past $500k including equity. AI-augmented teams at established companies pay close to the senior software engineer band ($200k–$340k) with a small AI premium. Specialized AI infra companies pay in between. Equity windows at the AI-native companies vary widely based on stage and recent funding rounds.
Watch for warning signs in JDs. A "prompt engineer" role with no engineering responsibilities listed is often a glorified customer-support or content role, not a real engineering role. A JD that lists "AI" without naming any specific model, framework, or eval methodology is usually a leadership team that has not yet figured out what they need. A 2026 JD that asks for 5+ years of "LLM experience" is a tell that the hiring manager is not calibrated to a field that did not exist at scale before 2023; gentle pushback in the interview is appropriate.
Use the listings below as the inbound feed. PrismCV crawls major job boards and de-duplicates across them. Click any listing for the full description and use the ATS Checker to score your resume against it. AI product engineering roles are highly competitive — tailor every application and lead with the AI features you have actually shipped.
Companies hiring ai product engineers now
The five companies with the most active openings in this role today.
Latest open positions
Crawled across major job boards. Click through to apply at the source.
Sr. Applied AI Engineer
Zapier · NAMER · Remote
Senior Applied AI Engineer (Observability)
Komodo Health · San Francisco, CA
Staff Applied AI Engineer (Observability)
Komodo Health · New York, NY
Staff Applied AI Engineer
Komodo Health · New York, NY
Senior Applied AI Engineer
Komodo Health · New York, NY
Applied AI Engineer
Komodo Health · San Francisco, CA
Full Stack LLM Engineer
Cerebras · Toronto, Ontario, Canada
Staff AI Product Engineer
Modern Health · Remote - US · Remote
Staff Applied AI Engineer
Komodo Health · India
Staff Applied AI Engineer
Checkr · San Francisco, California, United States
AI Product Engineer
Abnormal Security · Remote - USA · Remote
Staff Applied AI Engineer
StackBlitz · Remote · Remote
Senior Applied AI Engineer
StackBlitz · Remote · Remote
Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore
Mistral AI · Singapore
Senior Applied AI Engineer
Drata · Remote - US · Remote
Applied AI Engineer, Fullstack Software Engineer - EMEA
Mistral AI · Paris
Software Engineer, AI Product Engineer
Normal Computing · New York City · Remote
Applied AI Engineer, Prototyping
Mistral AI · Paris
Applied AI Engineer - Remote
dexter health · Cologne · Remote
AI Product Engineer
Speak · San Francisco · Remote
Applied AI Engineer, Senior/Staff Devops/SRE - EMEA
Mistral AI · Paris
Applied AI Engineer
Ramp · New York, NY (HQ)
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Frequently asked questions
No single best board. AI-native companies post on their own careers pages (Anthropic, OpenAI, Cursor, Perplexity) and on LinkedIn. AI-augmented teams at established companies post on Greenhouse and Lever. Specialized communities (Latent.Space, the AI Engineer Summit network, Vercel's AI engineer community) carry warm-intro roles. PrismCV aggregates across the major boards.
Very. The field is small enough that hiring managers can recognize meaningful contributions to LangChain, LlamaIndex, the Vercel AI SDK, eval frameworks, or your own published tools. A serious OSS project (1k+ stars, active users, real adoption) significantly strengthens an application; a few weekend repos do not.
The first week after a posting goes live is the highest-conversion window. Top AI-native companies often receive hundreds of applications within 48 hours of a posting going live; the first batch gets the most attention. Setting up a daily digest on PrismCV keeps you in the early window.
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