AI Engineer — California, United States

About •••••••• is building the future of AI-powered job searching, making career opportunities more accessible, efficient, and personalized for everyone.

We're building AI-powered tools that help job seekers discover relevant opportunities, automate repetitive application tasks, and focus on what matters most — landing their next offer.

As a small, fast-moving team, we value creativity, ownership, and a willingness to experiment. We're looking for curious, motivated people who enjoy solving real-world problems, moving quickly, and making a meaningful impact from day one.

About the RoleWe're looking for a passionate AI Engineer to join our early-stage team and help build the future of AI-powered job searching and automation.

You'll work closely with our product and engineering teams to build intelligent AI agents, develop smart job-matching and resume-tailoring systems, improve automation accuracy, and turn cutting-edge AI capabilities into reliable features that drive real user value.

This role is ideal for someone who is curious, builder-minded, and enjoys solving real-world problems. You'll have the opportunity to take ownership of core AI initiatives, shape our technical architecture, and make a direct impact in a fast-moving AI startup.

What You'll Do• Build Applied AI & Agent Workflows: Design, build, and deploy LLM-powered features and autonomous agents that automate complex job applications and form-filling across diverse platforms.

• Develop Matching & Ranking Systems: Build intelligent semantic search, embedding pipelines, and recommendation models to match job seekers with the most relevant opportunities.

• Optimize Prompts, Context & Evals: Architect structured prompting, RAG pipelines, and automated evaluation frameworks to improve accuracy, reduce hallucinations, and ensure consistent output quality.

• Improve Latency & Cost Efficiency: Fine-tune model routing, caching, and inference workflows so AI features feel fast, responsive, and scalable in production.

• Experiment & Ship Rapidly: Prototype new AI capabilities quickly, test them with real users, and iterate based on product data and feedback.

• Collaborate Across Teams: Partner closely with product, data, and full-stack engineers to seamlessly integrate AI models into user-facing web and browser extension experiences.

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What We're Looking For• Strong Programming & AI Fundamentals: Proficiency in Python (and/or TypeScript) with hands-on experience building production applications using modern LLM APIs and AI frameworks.

• Applied LLM & Agent Experience: Practical experience with prompt engineering, structured outputs, tool calling, RAG, or multi-step AI agent workflows.

• Search, Embeddings & Data Skills: Familiarity with vector databases, semantic search, embeddings, or machine learning techniques for ranking and personalization.

• Evaluation & Reliability Mindset: Understanding of how to measure, debug, and systematically improve non-deterministic AI systems in real-world environments.

• Problem-Solving Skills: Strong debugging skills, attention to detail, and a structured approach to tackling messy, real-world edge cases.

• Communication: Ability to explain technical trade-offs and AI capabilities clearly to both technical and non-technical teammates.

• Ownership & Adaptability: A proactive builder attitude, curiosity about fast-moving AI advancements, and excitement about building in an early-stage startup.

Experience from internships, personal AI projects, hackathons, research, open-source contributions, or professional roles is welcome.