Senior Product Engineer – AI

THRYVE; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

THRYVE in Berlin is seeking a Senior Product Engineer who blends software engineering, product thinking and applied AI to build production AI products. You will work across backend services, frontend applications, data and LLM-powered functionality, taking ideas from concept through to production.

You’ll have ownership across the full product lifecycle, collaborate with users to understand workflows, and move quickly with short feedback loops in a high-growth AI startup environment.

Qualifikationen

• Strong professional software engineering experience.
• Experience building and shipping full-stack products.
• Production experience with LLM-powered applications.
• Experience with AI agents, agentic workflows or LLM orchestration.
• Understanding of LLM evaluation, context management, structured outputs and failure handling.
• Experience owning products or significant features from idea through to production.
• Experience working directly with users or customers.
• The ability to operate effectively without detailed specifications.
• Strong ownership and engineering judgement.

Aufgaben

• Build production AI products across backend, frontend and data.
• Develop agentic AI systems and LLM-powered workflows in production.
• Own the full product lifecycle from idea to production and iteration.
• Collaborate with users to understand problems and translate into software solutions.
• Ship and iterate quickly in short development cycles with fast feedback.

Kenntnisse

Full-stack development

LLM-powered apps

AI agents workflows

Ownership & judgement

User collaboration

Production systems

Tools

Python

FastAPI

TypeScript

Vector databases

LLMs/AI agents

GCP

Jobbeschreibung

We’re working with a well-funded Berlin AI startup building production AI products designed to automate complex, real-world business workflows.

They’re growing their engineering team and looking for a Senior Product Engineer – AI who wants to work across software engineering, product and applied AI.

This is a highly autonomous engineering role.

Rather than receiving detailed specifications and working through a backlog, you'll work closely with users to understand their problems, decide what should be built and then take solutions from idea through to production.

You'll have the freedom to work across the stack, experiment quickly and own the products and AI systems you build.

What You'll Be Doing

Build production AI products

Design, develop and ship AI-powered applications used within real-world business environments.

You’ll work across backend services, user-facing applications, data and LLM-powered functionality depending on the problem you’re solving.

Develop agentic AI systems

Build and improve AI agents and LLM-powered workflows that operate in production.

You’ll work on challenges including:

• Agentic workflows and orchestration
• LLM evaluation
• Structured outputs
• Context management
• Retrieval and vector search
• Error handling and recovery
• Reliability and observability

This is about building reliable production AI, rather than prototypes or proof-of-concepts.

Work directly with users

You’ll have direct access to the people using the products you build.

You’ll understand their workflows, identify opportunities for automation and turn those problems into software.

Own the full product lifecycle

You’ll have ownership across:

You’ll be given context and business problems rather than perfectly defined technical specifications.

Ship and iterate quickly

The company operates with short development cycles and fast feedback loops.

You’ll be expected to make pragmatic engineering decisions, get products into users’ hands and improve them based on real-world usage.

Technology

The core technology environment includes:

• Python
• FastAPI
• TypeScript
• Modern frontend frameworks
• Vector search / vector databases
• LLMs and AI agents
• GCP

Experience with every technology isn’t required.

They’re looking for engineers who are strong in their core area, capable across the stack and comfortable learning new technologies quickly.

What We're Looking For

You’ll likely have:

• Strong professional software engineering experience
• Experience building and shipping full-stack products
• Production experience with LLM-powered applications
• Experience with AI agents, agentic workflows or LLM orchestration
• Understanding of LLM evaluation, context management, structured outputs and failure handling
• Experience owning products or significant features from idea through to production
• Experience working directly with users or customers
• The ability to operate effectively without detailed specifications
• Strong ownership and engineering judgement

We're particularly interested in engineers who have worked within startups, scale-ups or high-ownership product environments.

What Matters Most

This isn’t a role for someone who only wants to work within one narrow part of the stack.

You’ll enjoy it if you:

• Care more about solving problems than using a particular technology
• Like building products people genuinely use
• Enjoy working directly with users
• Are comfortable moving between backend, frontend and AI
• Take ownership without waiting for instructions
• Can make sensible trade-offs between speed and long-term engineering quality
• Enjoy testing ideas quickly and learning from real-world feedback

Why Join?

You’ll join a high-growth AI company at an early stage of its journey, with the opportunity to have significant influence over both the product and technical direction.

You’ll have:

• Significant engineering and product ownership
• The opportunity to build production AI and agentic systems
• Direct access to users and short feedback loops
• Close collaboration with company leadership
• Freedom to work across product, engineering and AI
• Competitive compensation
• Equity
• The opportunity to help shape the engineering culture as the company grows

The engineering team works in English.

German is beneficial but not required.

If you’re a strong Product Engineer who wants to combine software engineering, product thinking and applied AI, we’d love to hear from you.