Salary
💰 $205,000 - $255,000 per year
Tech Stack
GoPythonRubyTypeScript
About the role
- Own end-to-end implementation of AI-powered product features, from prototypes to production.
- Handle prompt engineering, model tuning, and evaluation strategies to improve reliability and UX.
- Collaborate with product and design partners in defining and scoping AI-driven experiences.
- Teach best practices for working with LLMs, including prompt design and evaluation methodologies.
- Learn deeply about Honeycomb’s workflows and user problems to build truly helpful AI features.
- Iterate through fast feedback loops, experimentation, and sharing both wins and failures.
Requirements
- 5+ years of software engineering experience, with 2+ years building ML/AI-powered features in production.
- Deep expertise in LLMs, prompt engineering, retrieval-augmented generation, and evaluation methods.
- Proficiency in backend development using Python, Go, Ruby, TypeScript or a similar language.
- Strong cross-functional skills and a track record of collaborating closely with PMs and designers.
- Comfort navigating ambiguity and driving clarity in fast-paced environments.
- Bonus: Experience with observability tools, production infrastructure, or public contributions to the AI community.
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge - Unlimited PTO and paid sabbatical
- A remote-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligenceprompt engineeringmodel tuningevaluation strategiesbackend developmentPythonGoRubyTypeScript
Soft skills
collaborationcross-functional skillsnavigating ambiguitydriving clarityfast-paced environment