com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows.

We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful. Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.

About The Role

com builds AI-powered search and research APIs for the agent era — the retrieval layer developers reach for when they're building agents, copilots, and AI-native products. This role sits at the seam between engineering and the developer community. You're a strong AI engineer who ships real things, and you're equally at home in an open-source repo, on a podcast, or on a conference panel.

We're looking for a builder developers trust, someone who can write a reference implementation one week and explain to a room of engineers (or a customer's CTO) why it matters the next.

What You'Ll Do

com's APIs — improving agentic results, cutting inference cost and token usage, and getting strong performance out of smaller, cheaper models. com into the agent frameworks and developer tools people are already using. com at hackathons, meetups, and panels.

) Bring the developer's perspective back into the product. You stay close to what developers actually need and act on it quickly. Translate between audiences: go deep on the technical how with engineers, and make the business why land with non-technical and executive stakeholders.

What We'Re Looking For

AI engineering & systems design. You're a hands-on engineer fluent in the modern AI and agent stack.

Requirements

against how you actually build. You bring a public body of work — an active GitHub profile, open-source projects, or demos the community has found worth using. Developer-community fluency.

You understand developers because you are one. You can put yourself in another technical builder's shoes and know what will genuinely matter to them. You've contributed to open source and/or organized or taken part in hackathons, meetups, or talks.

Communication. You can go deep technically with engineers and clearly convey value to non-technical and C-level audiences. This is a true twofer — both registers, not one or the other.

Nice To Have

Business acumen. You can show ROI. The things you build solve real business problems, and you can demonstrate the return to leaders — not just the cool factor.

Our salary bands are structured based on a combination of geographic tiers and internal leveling.

Compensation

is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.

Perks

Senior AI Engineer