Senior Full Stack Software Engineer

Cynch AI•San Francisco, CA

1d•$160,000 - $240,000•Hybrid

About The Position

Cynch AI is a Series A company that has grown revenue 4x in the past year. We build neuro-symbolic AI applications for our accounting firm, Aardvark Tax Advisors. Our platform allows our tax professionals to focus on the work and decisions that matter most. We are growing both organically and through strategic acquisitions. We have a mix of remote and onsite employees, with offices in San Francisco, the South Bay, and the East Bay. We are looking for a senior software engineer who has fully embraced AI tooling, and wants to stay at the forefront of how modern engineering teams continue to move faster, build higher-quality software, and solve more ambitious problems. This is a full stack role with a backend bias. You should be comfortable working across the stack, from backend services and data pipelines to frontend product experiences. We are changing how software can be built as we are building it; being all-in on AI-assisted development is central to this role.

Requirements

10+ years of professional software engineering experience with deep backend expertise
Your default process integrates AI tools into your daily engineering workflows to continuously improve velocity and quality
A track record of building and operating real production systems
Excellent instincts around APIs, data modeling, databases, queues, reliability, performance, and operational simplicity
Frontend ability to build and polish product experiences when needed
Experience working in an early-stage environment where requirements are incomplete, priorities shift, and ownership is broad
Strong product judgment: shipping code solving the problem
A pragmatic approach to architecture: you know when to design carefully, when to ship the simple version, and when to delete complexity
You can lead projects, take feedback, engage in thoughtful discussion, and get the work done.

Nice To Haves

Experience building AI-enabled products, internal platforms, workflow systems, or developer tools
Experience with some of: TypeScript, React, Python, Julia, Java, Go, or similar technologies
Experience with Postgres, AWS, data pipelines, document processing, integrations, or compliance-sensitive systems

Responsibilities

Work with founders, product, AI, operations and domain experts as you fully own substantial product and platform work from problem definition through production rollout
Build backend systems that can handle real production complexity: clear APIs, well-modeled data, reliable execution, useful observability, and maintainable code
Turn messy operational workflows into clean software abstractions, internal tools, automations, and customer-facing features
Continuously help the team discover where AI meaningfully improves software quality and velocity, and where it doesn't
Improve the engineering system itself: better tools, better patterns, better deployment practices, better observability, fewer repeated mistakes, less accumulated technical debt
Mentor other engineers by raising the quality of design discussions, implementation choices, reviews, and production ownership