Applied AI Engineer: Build AI Agents & Experiences

Linktree; Los Angeles (CA); On-site; USD 240,000 - 250,000; Full time

Benefits offered by this job

Wellbeing allowance

Retirement employer contribution

Generous time off

Stock options

Job summary

Linktree is hiring an Applied AI Engineer to build AI agents and AI-powered experiences that help creators, businesses, and their audiences. You’ll move from concept to prototype to production, learning from real usage and hardening what works with evaluation, observability, safeguards, and strong product judgment.

You will design multi-agent workflows, optimize latency and safety, and collaborate with product, design, data, and trust teams to deliver high-value, scalable features.

Qualifications

• Strong software engineering fundamentals and a track record of shipping production systems end-to-end.
• Hands-on experience building LLM-powered products, agents, chat systems, RAG workflows, or similar AI experiences.
• Experience building evals for AI output quality harnessing.
• Strong product sense: identify the real user problem, simplify the solution, and make practical trade-offs around effort, scope, and quality.
• Ability to weigh trade-offs and understand benefits of keeping systems architecture simple.
• Good judgment on safety, trust, privacy, abuse, and failure modes in AI systems.
• Strong communicator who collaborates well with cross-functional partners and explains trade-offs clearly.

Responsibilities

• Build and ship creator-facing and visitor-facing AI experiences end-to-end, from prototype through production.
• Design multi-agent workflows that combine prompting, tool use, retrieval, memory/state, orchestration, and human-in-the-loop controls where appropriate.
• Create eval suites, regression harnesses, and quality metrics so AI quality improves deliberately rather than by anecdote.
• Partner closely with product, design, data, and trust teams to translate ambiguous user problems into simple, high-value experiences.
• Optimize latency, reliability, cost, and safety so AI features are fast, dependable, and viable at scale.
• Turn production feedback, support signals, and behavioral data into model, prompt, policy, and product improvements.

Skills

Software engineering fundamentals

Shipping production systems

LLM-powered products

Agents & chat systems

RAG workflows

Product judgment

Cross-functional collaboration

Job description

Linktree is hiring an Applied AI Engineer to build AI agents and AI-powered experiences that help creators, businesses, and their audiences. You’ll move from concept to prototype to production, learning from real usage and hardening what works with evaluation, observability, safeguards, and strong product judgment.

You will design multi-agent workflows, optimize latency and safety, and collaborate with product, design, data, and trust teams to deliver high-value, scalable features.