Dishaya / Careers / Founding AI Engineer

Founding AI Engineer

Own the intelligence behind verified research: the systems that turn one messy question into a report where every claim carries its source and its verdict, and that get measurably better every week.

Engineering · Remote-First · Founding Equity

About Dishaya

Dishaya makes research people can actually send. One question in; a client-ready report, deck, and source ledger out, with every claim checked against the exact passage it cites and labeled verified, partial, unverified, or contradicted. What fails the check is disclosed, never hidden. We are early, independent, honest about both, and building toward one ten-year outcome: "Verified by Dishaya" becoming a mark a reader trusts before they read. More in About and Principles.

Why This Role Matters

The product's entire promise is that its answers survive being checked. This role owns that promise at the technical level. When the checking gets more rigorous, the product gets more valuable; when it gets faster and cheaper, the product reaches more people. You are the person who moves both.

What You'll Work On

• The quality of every verified answer: raising how often claims survive scrutiny, and how honestly failures are surfaced.
• Speed and cost of research runs: same rigor, fewer minutes, lower cost per finished work package.
• The improvement loop: making sure this week's outcomes make next week's answers better.
• New capabilities users can trust on day one, from richer report types to deeper source handling.

We describe work by the outcomes you will own rather than by our internal systems; you will see everything on the inside from day one.

Responsibilities

• Design, ship, and operate the AI-facing capabilities of the product, end to end.
• Set and defend quality bars with real measurements, not vibes.
• Work with multiple AI models and providers pragmatically; loyalty goes to the user's outcome, never to a vendor.
• Keep proprietary logic server-side and disciplined; trust is a security property here.
• Write things down: decisions, reasons, and honest post-mortems.

Required Qualifications

• You have shipped production systems built on large language models, and can walk through the hard decisions inside them.
• Strong TypeScript or similar, and comfort owning a service in production: queues, retries, failure modes, observability.
• You can design an evaluation before you design a feature, and you distrust your own demos.
• Clear, calm written communication.

Preferred Qualifications

• Experience with retrieval, grounding, or citation-backed generation in a product users paid for.
• You have run cost/quality tradeoffs at scale and can reason about unit economics.
• You have been the most senior engineer on something and kept it boring and reliable.

Nice To Have

• Published writing, talks, or open-source work that shows how you think.
• Experience in a research-adjacent product: search, knowledge tools, document intelligence.

What Success Looks Like

• 30 days: you have shipped to production, you understand the quality bar and the measurements behind it, and you have improved one of them.
• 90 days: the verified-answer quality metrics you own are visibly better, and one capability users asked for on the board has shipped with your name on the changelog.
• 365 days: the intelligence layer is meaningfully ahead of where a copycat could reach in a quarter, and you can prove it with numbers we publish.

Team Principles

• Honesty over fluency, in the product and in code review.
• Delete before you add; every abstraction earns its keep.
• Evidence over enthusiasm; direction comes from users.
• Small, senior, trusted; you own outcomes, not tickets.

Benefits

• Founding-level equity; early means it matters.
• Remote-first, judgment over time zones.
• The hardware and tools you need, without a procurement dance.
• Direct access to how the company runs: numbers, decisions, reasons.

Interview Process

1. Intro conversation (30 minutes): the honest state of the company, and what you want to build.
2. Craft deep-dive: real decisions inside work you shipped.
3. Paid working session: scoped, close to the real job, never spec work we ship.
4. References and a clear written offer, fast.

Equal Opportunity

Dishaya is an equal opportunity employer. We evaluate candidates on craft, judgment, and alignment with how we work, never on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.