Job description

Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating global tax reporting for the digital economy. Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other financial transactions. Its unique combination of deep subject matter expertise and AI-forward technology have made it a fast-growing disruptor trusted by the world's leading fintechs, marketplaces, digital asset players, Big 4 accounting firms, traditional enterprises, and government agencies. Backed by top-tier Silicon Valley VCs, Taxbit's team is located across offices in San Francisco, New York, Seattle, Salt Lake City, London, Madrid, and Singapore. Opportunity for Impact TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers. We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology. Role and Responsibilities Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards Professional Qualifications 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation Familiarity with AI observability, evaluation frameworks, and responsible AI practices Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience Personal Characteristics Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team High ownership mentality - you care about what happens after the code ships Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment Compensation The base salary range for this role is $90,000 - $130,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications. Benefits & Perks Competitive cash compensation (based on experience) Equity (RSUs) Competitive benefits package A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more Hybrid working model: 3 days in-office, 2 days WFH/flexible Monday team lunches, snacks and drinks Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge Paid parental leave to bond with your child Fertility Benefit Autonomous work and flexibility in how work is performed Taxbit in the News Bybit Collaborates with Taxbit to Ensure Seamless Financial Compliance for Global and EU Users Taxbit Expands Global Platform to Power CARF/DAC8 Compliance at Scale Taxbit Unveils Industry-First Global Reporting Platform, Bridging Digital and Traditional Finance Taxbit Wins the Digital Banker’s 2025 Digital Assets Award for Best Technology Solution Provider for Digital Assets - Tax & Compliance Automation Taxbit Named to 2024 Deloitte Technology Fast 500™ List of Fastest-Growing Companies in North America Taxbit Appoints Former OECD Advisor Colby Mangels as Global Head of Government Solutions Unlocking Compliance at Scale: CARF/DAC8 Reporting for Digital Asset Platforms Disclaimers By submitting an application for this role, you certify that the information contained in the application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire you, or for discharge should you be hired. For US roles, employment with the Company is at will unless otherwise stated in a written agreement signed by the CEO of the Company. This means that either the Company or the employee can terminate the employment at any time and for any reason, with or without notice.

Requirements

Must-haves

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.
Role and Responsibilities
Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring
Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards
Professional Qualifications
3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
Familiarity with AI observability, evaluation frameworks, and responsible AI practices
Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience
Personal Characteristics
Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
High ownership mentality - you care about what happens after the code ships
Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Nice-to-haves

Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsmlllmagilemachine learningpythontypescriptci/cdrest

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

401(K)

Pto

Parental Leave

Wellness