Staff Software Engineer, AI & App Experience
Leads the architecture and hands-on development of LLM-powered financial assistant capabilities, including agent systems, evaluations, guardrails, and scalable backend services. Requires 8+ years of backend or full-stack experience, strong distributed-systems expertise, and production experience shipping AI features.
About the job
Responsibilities
- Set technical direction and architecture for LLM-powered member experiences, including agent architectures, prompt strategies, and orchestration patterns.
- Design, build, and scale member-facing AI capabilities from prototype through production.
- Build evaluation frameworks, observability, and guardrail systems for reliable, safe LLM-powered features.
- Develop and harden backend services and internal tooling for model routing, prompt management, agent orchestration, and evaluation pipelines.
- Use AI-assisted coding and rapid prototyping, turning effective workflows into reusable agents, evaluations, and custom tools.
- Establish quality gates and shared evaluations and guardrails for AI-assisted development.
- Calibrate AI autonomy and verification to task stakes, reversibility, and cost.
- Design experiments and A/B tests, analyze results, and make data-informed product decisions.
- Partner with product, design, data science, and risk teams.
- Provide technical design leadership, code reviews, mentorship, and participate in the on-call rotation.
Requirements
- 8+ years of backend or full-stack software development experience in production environments.
- Deep expertise in system design, distributed systems, and high-scale architectural patterns.
- Proficiency with Python or comparable frameworks and breadth across the software stack.
- Daily, hands-on fluency with LLMs, AI code assistants, and generative AI tooling.
- Experience shipping LLM-powered product features—such as agents, conversational experiences, evaluations, prompt strategies, or guardrails—at production scale.
- Experience building durable AI-enabled workflows, evaluations, rules, and tooling.
- Experience with transactional databases such as Postgres and caching systems such as Redis.
- Strong focus on maintainable, well-tested code.
- Demonstrated technical leadership, architectural decision-making, cross-functional alignment, and mentorship.
- Product mindset with a bias toward rapid shipping, measurement, and iteration.
Nice-to-haves
- Experience with agent development, fintech, or startup environments.
Compensation and Benefits
- Base salary: $223,000–$308,000 USD.
- Full-time employees are eligible for a bonus, competitive equity package, and benefits.
- Benefits include backup child, elder, and pet care.
- Near-office employees generally work four days in the office and Fridays from home; a fully remote program is also available.
Skills
Python, LLMs, Ai Code Assistants, Generative AI, Agent Architecture, Prompt Engineering, Distributed Systems, System Design, Postgres, Redis, A/B Testing, Observability, Evaluation Frameworks, Backend Services, Guardrails
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