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.