Agentic AI Engineer
Taxbit provides software for automating tax calculations and reporting for digital assets, helping businesses and governments comply with cryptocurrency tax regulations.
Funding history
Investors
About Taxbit
Taxbit offers a tax and accounting platform designed for digital assets, providing automated solutions for tax reporting, compliance, and financial tracking. The platform caters to individuals, businesses, and governments, integrating with exchanges and wallets to streamline tax calculations and regulatory filings. With support for various regulatory frameworks and accounting standards, TaxBit helps users manage cryptocurrency transactions, ensuring accuracy and compliance with evolving tax laws.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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 enterprise customers. You'll design, build, and deploy customer-facing agentic AI products using AWS-native technologies, architect multi-agent systems with reliable tool use, memory, and orchestration patterns, and partner with product managers and customer success to translate user problems into elegant, production-grade AI solutions. You'll own the full lifecycle of AI features, from prompt engineering and agent design through evaluation, deployment, and monitoring, while writing well-designed, well-tested, and maintainable code and participating in code reviews. You'll instrument and monitor agentic systems in production and collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards.
Requirements
- 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 such as Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
- Strong understanding of agentic patterns including 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 technical and non-technical audiences
- Bachelor's degree in Computer Science, Machine Learning, a relevant technical field, or equivalent practical experience
- Strong coding skills in Python and/or TypeScript
- Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD are a plus
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 understand user problems and translate them into 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 and participate in code reviews
- Instrument and monitor agentic systems in production using observability tooling and 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
Benefits
- Equity (RSUs)
- Competitive benefits package
- 401(k) plan with access to crypto and financial wellness benefits
- Hybrid working model with 3 days in-office and 2 days WFH/flexible
- Monday team lunches, snacks, and drinks
- Discretionary Time Off
- Paid parental leave
- Fertility Benefit
- Autonomous work and flexibility
