Agentic AI Engineer, Salt Lake City

TaxBit

$90,000 - $130,000 / year

Salt Lake City, UtahFull-timeOn-siteIntermediate

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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

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.

Benefits

401(k)
stock options
parental leave

About this role

TaxBit is building AI-powered tax compliance automation for the digital economy, and this role puts you at the center of that mission. You'd design and deploy agentic AI systems that operate autonomously across complex financial data, working directly with enterprise customers to solve real compliance problems. The work spans the full lifecycle—from prompt engineering and agent architecture through production monitoring and iteration based on user feedback—using AWS-native tools like Bedrock, Strands Agents, and AgentCore.

You'll need at least three years of software engineering experience with at least one year shipping LLM-powered applications in production. Strong hands-on knowledge of AWS AI/ML services, agentic patterns (tool use, RAG, memory management, multi-agent orchestration), and LLM evaluation is essential. Python or TypeScript proficiency and comfort working across the stack are expected. Beyond technical chops, the role rewards high ownership—you care about what happens after code ships—and a genuine commitment to building AI systems that are trustworthy and reliable in a compliance-sensitive environment.

The position is full-time, in-office three days per week in Salt Lake City, with a base salary of $130,000–$170,000 plus equity, benefits, and a 401(k) that includes crypto options. You'd work in an agile environment alongside product, customer success, data teams, and compliance stakeholders, collaborating to ensure AI outputs meet both accuracy and regulatory standards.

How this employer is doing

average

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This role's local market on JobMinglr

1,111 open jobs across Utah

Pay for this role

$90,000 to $130,000 per year

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