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taktile
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Back-End Engineer - Team Agents

Оценка ИИ

Отличная позиция в быстрорастущем стартапе с поддержкой топовых инвесторов (Y Combinator, Index Ventures). Современный стек технологий и работа над передовыми AI-решениями делают вакансию крайне привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует уверенного владения Python (FastAPI) и опыта работы с облачной инфраструктурой AWS. Дополнительную сложность добавляет работа с LLM и необходимость участия в on-call ротациях.

Анализ зарплаты

Медиана85 000 €
Рынок70 000 € – 100 000 €
Оценка ИИ

Зарплата в объявлении не указана, но компания обещает пакет 'top-of-market'. Для Senior/Middle+ инженера в Берлине в сфере AI/Fintech рыночные ожидания обычно находятся в диапазоне 75,000–95,000 EUR.

Сопроводительное письмо

I am writing to express my interest in the Back-End Engineer position for the Agents team at Taktile. With a strong background in Python development and experience building scalable RESTful APIs, I am excited about the opportunity to contribute to a platform that automates complex workflows in financial services using AI-powered agents.

In my previous roles, I have worked extensively with FastAPI and AWS infrastructure, which aligns perfectly with your technical stack. I am particularly drawn to Taktile's high-ownership culture and the challenge of building reliable execution runtimes for LLMs. I am eager to bring my experience in distributed systems and my passion for engineering excellence to your team in Berlin.

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Описание вакансии

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. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible.

We are hiring a Back-End Engineer to help build and ship production features across this stack. You'll work alongside experienced engineers, contribute to real product impact from day one, and grow your skills in a fast-moving, high-ownership environment.

Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ.

What You'll Do

  • Build and ship backend features for Taktile's AI agent platform in Python (FastAPI), deployed on AWS serverless infrastructure.
  • Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback.
  • Improve how agents run, how they connect to external tools, and how they behave when something goes wrong.
  • Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense.
  • Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence.
  • Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions.
  • Grow as an individual and accelerate your career by learning from experienced team members, contributing to a foundational layer of the product, and joining cross-team learning groups.
  • For career growth at Taktile, this role will involve daytime ops duty and at some point joining an on-call rotation, so you need to have passion for owning systems end to end and grow your DevSecOps skills as well.

Technical stack

  • Backend: Python (FastAPI, Pydantic)
  • Data: DynamoDB, Postgres
  • Cloud: AWS serverless (Lambda, API Gateway)
  • AI: LLM orchestration, tool-use frameworks, streaming execution
  • Frontend: React, TypeScript (you will collaborate closely, but this is not a front-end role)

Requirements

  • Strong engineering fundamentals with a passion for simplicity and precision.
  • Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong English skills are also crucial to efficiently interacting with AI.
  • Prior industry experience with Python back-end development (this is not an entry-level position).
  • Experience building and operating RESTful APIs and working with databases.
  • Experience integrating into AWS or similar cloud providers.

Ideally, but not required

  • FastAPI and Pydantic experience.
  • DynamoDB or Postgres, SQLAlchemy.
  • Exposure to LLM application development, agent frameworks, or building developer tools.
  • Prior ops or on-call experience.
  • Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging).

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.

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Навыки

  • TypeScript
  • AWS
  • Python
  • CI/CD
  • PostgreSQL
  • React
  • Distributed Systems
  • DynamoDB
  • AWS Lambda
  • FastAPI
  • RESTful API
  • SQLAlchemy
  • Pydantic

Возможные вопросы на собеседовании

Вакансия предполагает работу над платформой для AI-агентов. Важно понимать, как кандидат подходит к интеграции LLM.

Расскажите о вашем опыте работы с LLM или фреймворками для агентов. С какими основными проблемами вы сталкивались при обеспечении надежности ответов?

Стек включает AWS Lambda и API Gateway. Важно проверить понимание специфики serverless.

Какие ограничения AWS Lambda вы учитываете при проектировании высоконагруженных API, и как вы боретесь с проблемой 'cold start'?

В описании упоминаются DynamoDB и Postgres. Нужно понять критерии выбора БД.

В каких случаях для хранения данных агентов вы бы предпочли DynamoDB вместо реляционной базы данных вроде Postgres?

Роль подразумевает участие в on-call и ops-задачах.

Опишите ваш подход к обеспечению наблюдаемости (observability) в распределенных системах. Какие метрики для вас приоритетны?

Компания ценит простоту и точность в инженерии.

Приведите пример, когда вам пришлось упростить сложное техническое решение. К какому результату это привело?

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taktile
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Германия