Software Engineer, Product

What you’ll do

• Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve?

• Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user?

• Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality?

• Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency?

• Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench)

• Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents?

• Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC)

• Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play?

What you'll bring

• A passion for being on the frontier of AI products.

• Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact.

• Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity.

• 4+ years hands-on experience building production products and systems.

• Experience and comfort to build and ship full-stack solutions.

• Degree in Computer Science or related field, or equivalent professional experience.

Even better...

• Experience building AI-powered products.

• A sharp eye for design.

• Experience with Go and Typescript.

• Experience building developer tooling, programming languages, or databases.

• Leadership experience on technical projects or teams.

Our values

• Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

• Flexible (unlimited) paid time off

• Life insurance and disability benefits

• Retirement plan dependent on country of employment

• Parental leave

• Fertility and family building benefits through Carrot

• Free alphorn lessons