Senior AI Engineer

About the role

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: Deduction.com

One-liner: Deduction.com is building the AI tax accountant for consumers, making expert tax advice, planning, and filing available year-round without the cost or wait of a traditional CPA.

Salary: $175K/yr - $250K/yr

Why Join Us:

• Building one of the most compelling AI consumer fintech products: the first AI tax accountant for everyday consumers.
• $9M funded by top investors and angels from OpenAI, Robinhood, and Rocket Lawyer
• Founded by Sai Dhanak, a serial entrepreneur with 2 prior exits who helped scale Latch from seed to NASDAQ.
• We’re a small, high-ownership team. Engineers here don’t just implement, they define systems, make decisions, and own outcomes end-to-end.

Role Responsibilities

• Architect & Scale AI Systems: Work closely with the Founding AI Engineer to evolve our AI systems to a robust, governed, cutting-edge platform
• Harden the Reasoning & Context Layer: Design sophisticated context engineering systems—managing memory and state while improving reliability, performance, and user experience
• Build a Multi-Layered Evaluation Platform: Design and implement a robust system for continuous quality improvement, leveraging comprehensive offline test suites, LLM-as-a-judge scoring (AI Auditor), and production-based CPA moderation to create a data flywheel
• Full-Stack AI Delivery: Write production-ready TypeScript (Node.js), ensuring AI features are seamlessly integrated into our core fintech platform
• Security-First Design: Ensure context boundaries and data retrieval paths natively enforce strict security, privacy, and compliance guardrails to protect client data
• Lead AI-Native Development: Set the standard for using AI to build AI—leveraging advanced coding assistants and automated testing to maintain high velocity and socializing best practices across the team

Qualifications

Required

• Production AI Experience: You have a track record of taking AI features beyond 'demo-ware' and into production at scale
• Context Engineering & AI Orchestration Mastery: Proven experience building systems where the primary challenge is managing context, memory, state at scale
• Collaborative Architect: You enjoy working closely with other senior leads to brainstorm, peer-review, and iterate on complex system designs
• The Stack: TypeScript (Node.js). Production experience with AI orchestration and evaluation. Familiarity with observability tooling is a plus
• Fintech/Regulated Context: You understand that in tax, 'mostly right' is wrong. You have the discipline required for building in a regulated space
• Growth Mindset: You are ready to go from zero → one → scale with minimal friction, leaning into the evolving nature of the AI stack
• Early-Stage Appetite: You thrive in environments where priorities shift fast, scope isn't always locked. You'd rather ship, experiment, and iterate than wait for a perfect spec
• You actively use AI tools as a core part of your development workflow (not optional)
• You believe the software engineer's job is fundamentally changing—and you lean into that shift

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

• Apply to your first Jobright TNT role
• We review your background to determine if you meet the TNT quality bar
• If qualified, your application is directly recommended to the employer
• Once accepted into TNT, you may be:
• Invited to apply for other exclusive TNT-only roles
• Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.