Note: The job is a remote job and is open to candidates in USA. TaxGPT is revolutionizing the tax and accounting space with AI-driven solutions tailored for accountants, tax professionals, and SMBs. They are seeking a Senior AI Engineer to help build the core intelligence layer behind TaxGPT, focusing on automating tax workflows using advanced AI technologies. The role requires collaboration with software engineers and product teams to design and scale AI systems that enhance efficiency and reliability.

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

Skills

• 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
• 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

Benefits

• Medical
• Dental
• Vision
• 401k + 3% match
• Life insurance

Company Overview

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