Agentic AI Engineer, Salt Lake City

Taxbit; Salt Lake City (UT); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Competitive cash compensation

Equity (RSUs)

401(k) with crypto options

Hybrid work model — 3 days in-office,

Job summary

Taxbit seeks an Agentic AI Engineer to build autonomous, enterprise-grade AI tools for tax and compliance workflows in a fintech setting. You will design multi-agent systems, leverage AWS Bedrock, SageMaker, and related services, and collaborate with product and customer success teams to deliver reliable AI features.

You will own the full lifecycle of AI features, write clean code, implement monitoring, and ensure outputs meet regulatory standards in a fast-paced environment.

Qualifications

• 3+ years of professional software engineering, 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.

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.

Skills

Python

TypeScript

AI/LLM development

Agile methodologies

Education

Bachelor's degree in Computer Science or related field

Tools

Bedrock

Strands

AgentCore

SageMaker

DataDog

GitHub CI/CD

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 $130,000 - $170,000. 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