Staff AI Engineer

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Honeycomb.io

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SaaS • Enterprise • Artificial Intelligence

Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Own end-to-end implementation of AI-powered product features, from prototypes to production. Mentor other engineers on the team, leveling up the team as a whole. Collaborate across the organization to support shipping these features 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

• Ideally 7+ years of software engineering experience, with 3+ years building ML/AI-powered features in production. • Proven experience shipping production AI/GenAI features end-to-end. • Strong background as a Staff-level product software engineer (not data science or ML-research-only). • Experience iteratively improving GenAI-powered features based on quantitative and qualitative signals. • Ability to design, run, and evaluate experiments for AI features. • Prior on-call experience supporting production systems. • 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.

🏖️ Benefits

• 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...