Senior AI Engineer II

Full Description

What We’re Building

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!

If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases.

Who We Are

We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.

How We Work

We are a remote-first company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote

2025: The Year of AI at Honeycomb

We’re scaling our dedicated AI Team—a group of builders shaping the future of developer tools with AI at the core. This isn’t just about building cool demos—it’s about shipping reliable, innovative AI-powered features that make our users faster, smarter, and more effective. As a Senior AI Engineer II, you’ll lead high-impact projects, mentor teammates, and help define what great AI at Honeycomb looks like.

We’ve already shipped major AI capabilities like Natural Language Querying and shared our learnings along the way in posts like So we shipped an AI Product, did it work?. Now we’re investing even more deeply. Want to help write the next chapter?

What You’ll Do

Own

• Lead projects implementing AI-powered product features from experimentation through production.

• Improve the quality and reliability of our AI systems through prompt design, evaluation frameworks, and model tuning.

• Influence architectural decisions across our ML/AI stack, tooling, and infrastructure.

Assist

• Partner with Product, Design, and Engineering leaders to define and scope AI-driven product experiences.

• Support non-AI engineering teams in integrating AI into their product areas—without creating knowledge silos.

Teach

• Define and share best practices for integrating LLMs responsibly and effectively.

• Shape evaluation and experimentation methodologies to support fast, iterative learning.

• Mentor engineers on the use of AI/ML and prompt-based systems.

Learn

• Gain deep knowledge of our core product workflows and the problems our users face.

• Embrace our culture of experimentation, where short feedback loops and impact over perfection guide our work.

How You’ll Drive Impact

On the Team:

• Level up the team’s skills through your expertise in LLMs, prompt engineering, and evaluation strategies.

• Act as a multiplier by coaching others and shaping early best practices for safe and responsible AI development.

Across the Org:

• Partner across teams to scale AI adoption thoughtfully and effectively.

• Help build and maintain shared AI infrastructure that empowers the entire engineering org to experiment and deliver.

At the Company:

• Deliver AI-powered features that differentiate Honeycomb in a competitive market.

• Contribute to our public story and strategy in the AI space.

What You Bring

• GenAI & LLMs: 5+ years of software engineering experience, with at least 2 years of experience building and shipping production-ready ML/AI-powered features.

• Machine Learning: Expertise in modern AI/ML tools and concepts, particularly large language models, prompt engineering, retrieval-augmented generation, and evaluation techniques.

• Backend Development: Proficiency in languages like Python, Go, or TypeScript.

• Production Experience: Proven track record of owning and operating models and services in production environments.

• Cross-Functional Skills: Effective collaboration with PMs, designers, and engineers in a product-focused environment.

• Mentorship & Leadership: Experience mentoring engineers and influencing best practices within and beyond your immediate team.

Bonus Points

• Background in developer tools or observability products.

• Experience with production infrastructure or frontend integration of AI features.

• Public contributions to the AI community (talks, blog posts, OSS).

This Role Is a Fit If You:

• Are excited to own business-critical projects end to end.

• Thrive in ambiguous, fast-moving environments.

• Care about building real value for users—not just optimizing metrics.

• Want to mentor others while continuing to grow yourself.

Base pay range for this role, depending on experience: $315,000 - $370,000 CAD

What you'll get when you join the Hive:

• 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

• 100% employee/75% for dependents coverage for all benefits

• Up to 16 weeks of paid parental leave, regardless of path to parenthood

• Annual development allowance

• And much more...

Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.

Diversity & Accommodations:

We're building a diverse and inclusive workplace where we learn from each other, and welcome nontraditional candidates, and people of all backgrounds, experiences, abilities and perspectives. Further, we (of course) follow federal and state disability laws and are happy to provide reasonable accommodations during the application phase, interview process, and employment. Please email talent@honeycomb.io to discuss accessible formats or accommodations. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work; if we can do better - we want to know!

Privacy Notice:

If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.

For more information regarding our privacy practices please see the Honeycomb Privacy Notice.

If you do not want us to retain your information for consideration for other roles, or want us to update it, please contact privacy@honeycomb.io. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.