AI Lead Engineer
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- Worldwide
- Work type
- Remote
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About TaxDome
At TaxDome, we’re building the world’s #1 practice management platform for accounting firms. Since 2017, our fully remote team across 40+ countries has grown to serve 15,000+ firms and 6M+ of their clients worldwide.
TaxDome was voted the #1 practice management system in the CPA Practice Advisor Readers’ Choice Awards in both 2025 and 2026, earning nine additional awards selected by the accountants who use our platform. We’re also proud to have received Silver Stevie Awards for Employer of the Year in 2025 and 2026, reflecting our commitment to building a great place to work.
How we work
You’ll be part of a globally distributed team built on trust, ownership, and self-management.
We focus on outcomes over activity — prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.
About this role
TaxDome is going through a company-wide transformation toward an AI-native way of working. Our internal automation team is made up of 2 Forward Deployed Engineers (FDEs) and 1 AI engineer. They sit with business teams, find manual work, and turn it into AI agents, automations, and internal tools. The backlog is big: revenue operations, business reviews, performance reviews, and much more.
We’re looking for a Lead AI Engineer to be the technical lead of this team. You’ll own the automation platform: the tooling, architecture, deployment setup, and security standards that every project runs on. You’ll guide the 2 FDEs and the AI engineer technically and make sure that what we build is reliable, secure, and ready to scale.
This is a hands-on leadership role. About 50% of your time goes to building yourself. The rest goes to running the platform and deployments, reviewing architecture, and checking the technical delivery of the team’s projects. You’ll report to our Head of Security and work closely with our Operations Lead, who owns the AI transformation and is your main business stakeholder.
People management isn’t required at this stage. If you want to grow into a team lead role, we’re open to discussing it.
We’re not tied to a specific language or framework: our stack will keep evolving as AI tooling does, and we’re looking for someone who picks the right tool for the job rather than the familiar one.
The scope is internal automation and tooling, not TaxDome’s core product. It’s a fully remote role, we are hiring across EMEA (LATAM also considered).
What you’ll be responsible for
- Technical leadership
- Act as the technical lead for 2 Forward Deployed Engineers and 1 AI engineer: set technical direction, unblock them, and grow their engineering skills.
- Review the solution designs and code of team projects: what gets connected, to which systems, and how it will behave in production.
- Run technical delivery checks before team projects go live: security, reliability, and readiness for production use.
- Assess estimates and commitments: challenge timelines that are too optimistic or too padded, and point out architectural risks early.
- Introduce engineering best practices (design reviews, coding and security standards, documentation) so that every automation is built on shared standards, not each engineer’s own approach.
- Platform ownership
- Own the internal AI and automation platform: the toolset, the GitHub-based deploy setup, environments, and security rules.
- Participate in tooling selection, providing the technical and security assessment of new tools, models, and vendors.
- Plan for scale and resilience: capacity and stress testing, model and vendor fallbacks, rate limits, and cost control as AI usage grows (for example, “what happens if our LLM usage grows 5×?”).
- Set up observability and evaluation for AI workloads, covering quality, cost, and latency.
- Hands-on engineering (~50%)
- Design, build, and operate production services, including our retrieval-grounded assistant: RAG pipelines, embeddings, vector search, and retrieval quality evaluation.
- Design and maintain MCP servers and AI agents (tool-calling, orchestration, multi-step agentic workflows).
- Build automations in n8n where low-code is the right fit, and integrate internal and external services through REST APIs, webhooks, and OAuth flows.
- Use AI coding agents as a primary implementation tool, and keep a high bar on tests, security, and maintainability.
- Partnership with the business
- Partner with the Operations Lead to turn the transformation roadmap into a technically sound delivery plan.
- Help prioritize the backlog based on technical effort, risk, and impact.
- Research, evaluate, and pilot new AI and automation tools.
What you bring
Must-have
- 6+ years in software engineering, including 2+ years building production applications, agents, and automations on top of LLMs.
- Proven experience as a tech lead, platform owner, or architect: you’ve guided other engineers technically, done design and code reviews, and owned architecture decisions.
- Experience building internal automations and tools for business teams.
- Hands-on experience with workflow automation tools (n8n or similar).
- Strong backend engineering: designing services, databases, APIs, tests, Git, containers, and CI/CD. You’re comfortable switching languages and tools as the stack evolves.
- Hands-on experience with RAG and retrieval: embeddings, vector databases, and tuning retrieval quality.
- Solid experience with relational databases and SQL (Postgres or similar).
- Experience building and operating AI agents and agentic workflows (tool-calling, orchestration, multi-step prompt chains).
- Ability to reason about and explain trade-offs in cost, latency, security, scalability, and complexity.
- Ability to judge the effort and realism of engineering estimates.
- Experience with AI-assisted development (Claude Code or similar), while staying accountable for the quality of generated code.
- Solid security and data-handling awareness (credentials, tokens, PII, access scopes).
- Fluent English: able to lead technical discussions and work directly with business stakeholders.
Nice-to-have
- Experience designing and building MCP servers.
- Experience with key-value stores (Redis) and vector search in Postgres (pgvector or similar).
- Experience with LLM observability and eval tooling (Langfuse, promptfoo, or similar).
- Experience with capacity planning, load testing, and cost optimization of LLM workloads.
- Experience integrating third-party systems (Jira, Slack, Google Workspace, HubSpot, CRMs) via REST APIs, webhooks, and OAuth.
- Experience running services on managed container PaaS platforms.
- Background in forward-deployed, solutions, or internal-tools engineering, working directly with business users.
- Interest in growing into people management.
What we offer
At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.
- Competitive compensation, paid in USD, transparently shared before the first interview
- Performance-based internal incentive plan
- Fully remote work with flexible hours
- 30 paid days off annually, plus sick days as needed
- Health & well-being support
- Learning & development budget to support your professional growth
- English lessons reimbursement
- Co-working space reimbursement
- Company-provided equipment (conditions may vary depending on the role)
- A high level of autonomy and ownership in your work
- The opportunity to make a real impact in a fast-growing global SaaS company
- A collaborative, international team with a strong product mindset
If you’re excited about this opportunity and believe you could make an impact at TaxDome, we’d love to hear from you!
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