Agentic AI Engineer
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Overview
Join Taxbit as an Agentic AI Engineer to build intelligent products at the intersection of AI and FinTech. Work on autonomous systems that enhance tax and compliance workflows. 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.
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
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
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