Agentic AI Engineer — FinTech AI Systems & Compliance

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

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.