Staff Software Engineer, AI & App Experience

About The Role

Chime is looking for an Engineering Manager to lead one of the teams building Jade, our AI-powered financial assistant, within the AI & App Experience (AAX) organization. AAX is building the next generation of the Chime member experience, and Jade sits at the center of it: helping millions of members manage their spending, stay on top of subscriptions, and reach their financial goals through conversation that's natural, reliable, and trustworthy.

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
• 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

The base salary offered for this role and level of experience will begin at $223,000.00 and up to $308,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

Qualifications

• 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

Skills

• Strong engineering fundamentals with a product mindset
• Strong communication and collaboration skills
• Ability to learn quickly and adapt to shifting priorities
• Experience with LLMs and AI tooling
• Experience with distributed systems and high-scale systems
• Experience with transactional databases and caching systems
• Experience with agile methodologies and continuous integration

Benefits

• Competitive salary based on experience
• 401k match
• Great medical, dental, vision, life, and disability benefits
• Generous vacation policy and company-wide Chime Days
• Annual wellness stipend
• Up to 24 weeks of paid parental leave
• Access to Maven, a family planning tool
• In-person and virtual events to connect with fellow Chimers
• Challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress