Senior AI Engineer

TaxGPT Inc.•US - Remote,

12h

About The Position

We are looking for a Senior AI Engineer to help build the core intelligence layer behind TaxGPT. This role is focused on improving how effectively, reliably, and safely AI can automate real tax workflows using LLMs, retrieval systems, structured context, and agentic workflows. You will work closely with software engineers, product teams, and technical leadership to design, build and scale AI systems that support fast development, stable production environments, and long-term scalability. This is a senior individual contributor role for someone who can work with high autonomy, move quickly from prototype to production, and bring strong judgment to applied AI product development.

Requirements

5+ years of experience in software engineering, machine learning engineering, AI engineering or a related role
Strong experience building with LLMs in real products, not just experimentation environments
Experience designing and improving prompt-based systems to achieve reliable, high-quality outcomes
Strong experience with agentic workflows, tool-using AI systems, or multi-step AI orchestration
Experience building evals, regression tests, benchmarks, and monitoring for AI workflows
Strong understanding of tradeoffs in model quality, latency, cost, reliability, and system design
Strong scripting or coding ability in languages such as Python, Go, or TypeScript
Comfort working with APIs, backend systems, data flows, and cloud environments
Strong written and verbal communication skills

Nice To Haves

Experience supporting fast-moving startup engineering teams
Experience building products from 0 to 1
Experience with fine-tuning LLMs, synthetic dataset creation, or benchmark development
Experience working with sensitive or regulated data domains such as tax, accounting, finance, legal, or healthcare
Familiarity with modern AI evaluation and observability tooling

Responsibilities

Build and improve AI-powered product experiences for tax and accounting workflows
Increase automation rates across workflows while maintaining accuracy, reliability, and a strong user experience
Design and refine prompt-based systems, tool-using agents, and multi-step workflows that perform well in real production use cases
Prototype and ship end-to-end AI features quickly, from idea to working product
Design workflows that combine LLMs, tools, APIs, retrieval systems, and structured outputs in a robust way
Work across APIs, tools, retrieval layers, and backend systems to make AI capabilities useful in real user workflows
Build and maintain evals, regression tests, and benchmarks that help us measure and improve AI quality over time
Define practical metrics for usefulness, accuracy, latency, reliability, and cost
Investigate model failures and systematically improve performance through better prompting, context design, routing, and system architecture
Contribute to fine-tuning experiments, benchmark design, and dataset development where it adds product value
Write strong Python code for prototypes, internal tooling, backend services, and AI workflows
Work with product and backend engineers to productionize AI systems cleanly and safely
Use data and experimentation to guide decisions, validate improvements, and prioritize the highest-impact work
Help build feedback loops that make AI behavior easier to understand, debug, and improve over time
Make strong technical decisions in your area and help the team balance speed, quality, and maintainability
Share clear guidance through code reviews, design discussions, and documentation