Backend Engineer - Agents Team

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Mid level
Software
The Role
Join Taktile as a Backend Engineer to develop AI agent features, optimize workflows, and improve backend system reliability and performance.
Summary Generated by Built In
About the role

Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. We're looking for a Backend Engineer to join the Agents team shipping production features that power the agent execution runtime, tool orchestration, and platform infrastructure. If you want to own backend systems end-to-end, work at the intersection of AI and distributed systems, and see your code in production fast, this role is for you.

What You'll Do
  • Build and ship new product features for Taktile’s AI agent platform, from idea to production.

  • Own backend work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage.

  • Help make agent workflows reliable and easy to use by improving how agents run, how they connect to external tools, and how they behave when something goes wrong.

  • Work closely with Product and Design, using insights from dogfooding and customer feedback to shape what we build next.

  • Raise the quality bar by improving maintainability, clarity, and performance as the platform grows.

Requirements
  • Hybrid role based in Berlin. We collaborate in person regularly and don't offer remote-only for this position.

  • Fluent English required. You'll write design docs, review PRs with context, and occasionally join customer calls.

  • Strong engineering fundamentals: you can build clean APIs, debug production issues, optimize database queries, and know when to refactor vs. ship.

  • Comfortable operating systems in production and participating in incident response as part of a team rotation.

Required Experience
  • Production experience with Python: you've shipped APIs using FastAPI, Flask, or Django and understand async patterns, error handling, database transactions, and performance optimization.

  • Proficient in REST API design and can create endpoints that scale and maintain over time.

  • Prior industry experience with public cloud providers (preferably AWS).

Ideal, But Not Required
  • Experience with AWS Lambda, DynamoDB, Postgres, Pydantic, or SQLAlchemy.

  • Familiarity with LLM application development, agent frameworks, or building platform infrastructure and developer tools.

  • Experience with distributed systems, async task processing, observability tooling (tracing, metrics, logging), or previous on-call experience.

Our Offer
  • 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.

  • 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.

  • Receive a new Apple MacBook Pro, as well as 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.

About Us

Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions like who to onboard, how to underwrite, or when to flag suspicious activity with full visibility and control.

By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve.

Our mission is to build the world's leading platform for automated decision-making in financial services, setting the standard for how AI is applied responsibly and effectively in this industry.

We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders.

Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath, we're building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.

Top Skills

AWS
Django
DynamoDB
Fastapi
Flask
Postgres
Pydantic
Python
Sqlalchemy
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The Company
HQ: New York, New York
145 Employees

What We Do

Taktile is a next-generation decision platform that empowers teams to build, monitor, and optimize automated risk management strategies across the entire customer lifecycle—from credit underwriting and onboarding & KYC/KYB to transaction monitoring and collections.

With its low-code UI and best-in-class marketplace of third-party data integrations, Taktile enables credit, fraud, and risk teams to reduce reliance on engineering, adapt quickly to market changes, and ultimately drive growth while lowering operational costs.

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