Senior AI Tooling Engineer

Description

About the Role

Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Data Engineer (AI Enablement) to join our team.

As our first dedicated Data Engineer to AI Enablement, you will build the internal tools, agents, and integrations that help every team work faster and better. You will own these projects end-to-end—partnering directly with leads across Engineering, GTM, and Ops to identify high-leverage workflows and scale their impact.

Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com .

About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.

Your Privacy . Taktile (“we” or “us”) is the controller of the personal data you provide during this

application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.

How we use your data : We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.

Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art.6(1)(f)).

Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.

Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.

Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.

International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.

Responsibilities

• Embed across Engineering, GTM, Customer Success, Finance, and Ops to identify where AI can remove the most operational friction.
• Build internal tools and agents end-to-end, connecting Taktile’s SaaS stack to daily employee workflows.
• Drive real adoption through workshops, pairing, and office hours—measuring success by active usage and time saved rather than features shipped.
• Partner with Security and IT to establish guardrails, access scoping, and audit trails that protect customer data.
• Track the evolving AI landscape, bringing high-value models and tools back into the business.

Requirements

• 5+ years of software engineering experience shipping production Python in cloud-native environments.
• Practical experience building with modern LLM tooling (agents, tool use, prompt engineering, MCP, and evals) beyond notebook experiments.
• Hands-on experience integrating SaaS APIs (REST, webhooks, OAuth) and handling complex integrations.
• Pragmatic mindset prioritizing tangible user adoption over complex architecture.
• Excellent written and spoken English skills.
• Background in internal tools, Developer Experience (DX), platform engineering, or technical enablement.
• Experience handling unstructured data or AI governance in regulated industries.
• Comfort hosting internal workshops or pair-programming sessions.
• Our Stack
• AI & Language: Claude, Python
• Data & Infra: AWS, Snowflake, dbt, Terraform
• SaaS Stack: Notion, Linear, HubSpot, Gong, Ramp

Benefits

• Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
• Make an impact and meaningfully shape an early-stage company.
• Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
• Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
• Receive a top-of-market equity and cash compensation package.
• Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
• Use the equipment of your choice including meaningful home office set-up.
• Our Stance
• We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
• We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.