Senior AI Engineer - Chat & Agent Systems

We’re looking for a strong AI engineer with roughly 4–5 years of experience to play a central role in our chat team.

You’ll help shape the team’s technical direction, own the system design of day-to-day projects, maintain a high bar for engineering quality, and support junior developers through thoughtful design guidance and code reviews. This is a hands-on role for someone who combines strong programming fundamentals with practical experience building agentic systems.

WHAT YOU’LL DO

- Own the technical design and delivery of chat-team projects.

- Shape engineering priorities, standards, and day-to-day technical decisions.

- Turn product requirements into simple, maintainable system designs.

- Write production Python and remain closely involved in implementation.

- Design clear abstractions that reduce complexity without over-engineering.

- Review pull requests for correctness, maintainability, test coverage, and overall design quality.

- Help junior developers strengthen their programming and system-design judgment.

- Diagnose production issues across application code, agent workflows, prompts, models, data, and infrastructure.

- Improve the reliability, observability, latency, and cost of our chat systems.

- Take initiative in making the team more AI-native by improving how we use coding agents throughout the development lifecycle.

- Mentor other engineers in effective agentic coding workflows, including planning, implementation, testing, debugging, and code review.

WHAT WE’RE LOOKING FOR

- Approximately 4–5 years of professional software engineering experience.

- Strong proficiency in Python, including writing idiomatic, typed, testable, and maintainable production code.

- Strong programming fundamentals and consistently sound engineering judgment.

- Experience designing, delivering, and operating production systems.

- An ability to create useful abstractions while keeping systems simple and understandable.

- Strong knowledge of API design, data modeling, concurrency, error handling, and observability.

- Experience writing effective automated tests with tools such as pytest.

- The ability to review code beyond surface-level concerns and explain the reasoning behind suggested changes.

- Experience mentoring junior developers and improving the quality of their work.

- Comfort taking ownership, identifying opportunities, and driving improvements across a team.

- Clear written and verbal communication.

AGENTIC SYSTEMS EXPERIENCE

Hands-on experience building LLM or agentic applications is required. Relevant experience may include:

- Building tool-calling or multi-step workflows using LangGraph or a comparable agent framework.

- Designing conversation state, context management, and execution flows.

- Working with model APIs, structured outputs, retrieval, and grounding.

- Supporting streaming responses and asynchronous execution.

- Evaluating prompts, models, and end-to-end agent behavior.