Hatch engineering culture is driven by speed, ownership, and impact. We're a small, ambitious team building AI that transforms how service businesses grow, and we move fast. Engineers own problems end to end, ship to production early, and work across a modern stack (Elixir, Python, Go, React + TypeScript) on problems that directly shape the customer experience. At the end of the day, we're here to build something that matters, grow as engineers, and do it together.

As part of the AI agents team, you'll work at the intersection of classic product engineering and AI - building the underlying systems that let our AI agents reason, act, and improve. Your work has a direct, measurable line to customer revenue.

This opportunity requires you to be located in the United States.

We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Hatch, we’re looking for great people, not just those who simply check off all the boxes.

What You'll Do:

• Design, build, and own the systems that power our Voice AI and Text AI agents - handling voice calls, SMS, and email conversations end-to-end across every customer touchpoint.

• Craft system-level prompts that shape agent behavior, reliability, and outcomes, with a deep understanding of how prompt structure translates into real-world performance.

• Develop tool-calling integrations so agents can take reliable, real-world actions - booking appointments, looking up customer data and warm-transferring to humans - safely and predictably.

• Build LLM-as-a-judge evaluations and AI observability — telemetry, traces, and quality dashboards — to measure agent performance, catch regressions, and continuously raise the bar on reliability.

• Partner closely with product and design - bring a sharp product sense to every feature, balancing user needs, business goals, and technical trade-offs.

• Apply industry-standard engineering practices: Thorough code review, automated testing, CI/CD, progressive delivery with feature flags and A/B experimentation, observability, and clear technical documentation.

• Mentor and guide junior engineers, fostering a culture of learning and technical excellence.

What it Takes to Succeed:

• Hands-on experience building with LLMs in production - prompt engineering, tool/function calling, evaluation frameworks, or agent orchestration.

• Solid backend experience in one or more of Elixir, Go, Python, or a comparable server-side language, with the curiosity and adaptability to pick up new languages and frameworks as our stack evolves.

• Comfort working across the stack, from data model and LLM/agent logic to APIs and (where needed) UI.

• A track record of leading projects from spec to launch alongside multiple contributors.

• Deep sense of ownership and bias for action — you take ambiguous problems from start to finish, work across team boundaries to unblock yourself, and stay accountable through delivery.

• Clear communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

• Eager to keep up with the ever-changing landscape of AI capabilities — actively exploring new models, tools, and techniques, and thoughtfully applying them to your work and to the product.

What You'll Get

• Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $216,000

• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.

• This opportunity has the option to be fully remote in all locations across the US

• Effective your first day: Full medical, vision, and dental

• Mental health support and services via Modern Health

• 15 days PTO (accrual begins on date of hire and increases with 2+ years of tenure thereafter), 12 paid holidays, plus one floating holiday

• Up to 14 weeks of parental leave

• Monthly wellness stipend

• 401(k) retirement savings plan

• Employee stock purchase plan

• Professional development reimbursement

• Work from home reimbursement

• Shape the future of AI-driven customer service

• Build alongside founders and leaders who value speed, ownership,and ambition

• Solve challenging problems and see the impact on real businesses and customers

• Join a team of builders who care about great engineering, fast execution, and each other

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.

We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).

Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Hatch does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Hatch is not responsible for any fees related to unsolicited resumes.

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