Staff Software Engineer, AI & App Experience

Responsibilities

• Set the technical direction and architecture for how Chime builds with LLMs on Jade: the agent architectures, prompt strategies, and orchestration patterns that shape how Jade reasons and acts, and that other engineers build on.
• Design, build, and scale new member-facing capabilities for Jade, from prototype through production, moving fluidly between product discovery and hands-on engineering.
• Build the eval frameworks, observability, and guardrail systems that let the team ship LLM-powered features with speed, safety, and confidence.
• Develop and harden the backend services and internal tooling behind Jade (model routing, prompt management, agent orchestration, and evaluation pipelines), improving reliability and performance as we scale.
• Leverage AI and LLMs natively in your own workflow, using AI-assisted coding and rapid prototyping, and turn one-off AI workflows into reusable systems (agent loops, evals, custom tooling) that compound the whole team's output.
• Champion AI-native development practices across the team: set the quality gates that keep AI-assisted output production-ready, encode recurring failure modes into shared evals and guardrails, and push the team to work at the frontier of what AI tooling makes possible.
• Exercise judgment about where and how AI is applied, deciding which problems get an AI-generated first pass and which need human judgment, and calibrating model autonomy to the stakes and reversibility of each decision.
• Drive experimentation and rapid iteration: design A/B tests, analyze results, and make data-informed decisions about what to scale, pivot, or kill.
• Partner cross-functionally with product, design, data science, and risk to understand member pain points and deliver secure, scalable solutions.
• Contribute to technical design and uphold high standards across the codebase through code reviews and mentorship, multiplying the impact of the engineers around you.
• Participate in on-call rotation; being on call may include responding to incidents outside of regular working hours when necessary.

Requirements

• 8+ years of backend or full-stack software development experience in production environments.
• Deep expertise in system design, distributed systems, and architectural patterns for high-scale systems.
• Proficiency with Python or comparable frameworks, with the breadth to make sound decisions across the stack.
• AI-native fluency: you actively build with LLMs, AI code assistants, and generative AI tooling as a daily part of your workflow, not as a side project.
• Hands-on experience building or shipping LLM-powered product features (agents, conversation experiences, evals, prompt strategies, or guardrails) at production scale.
• A track record of turning AI into durable leverage: reusing and improving workflows, encoding recurring fixes into evals, rules, and tooling instead of solving the same problem twice, and acting as the first and most critical reviewer of AI-generated output.
• Sound judgment about where and how to apply AI, calibrating verification effort and model autonomy to the stakes, reversibility, and cost of each task.
• Experience with transactional databases (e.g., Postgres) and caching systems (e.g., Redis), and a strong focus on writing maintainable, well-tested code.
• Demonstrated technical leadership across teams: setting direction, driving architectural decisions, and aligning cross-functional stakeholders without relying on positional authority.
• A track record of mentoring engineers and raising the technical bar.
• A product mindset with a bias toward action: you ship v1 fast, learn from real usage, and iterate, letting data settle debates.

Nice-to-Haves

• Experience with agent development, fintech, or startup environments.

Compensation

• Base salary: $223000 - $308000.
• Eligible for bonus, competitive equity package, and benefits.