Senior AI Engineer (Bucharest/Munich - Hybrid)

SERA Intelligence; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

An innovative technology company in Munich seeks a Senior AI Engineer to lead the development of advanced intelligence systems for agriculture. This position offers an opportunity to own core AI architecture, ensuring robust integration and reasoning across various data sets. Ideal candidates will have strong skills in Python and a background in AI engineering or applied machine learning. The role promises competitive compensation, a meaningful mission towards sustainable agriculture, and a dynamic, autonomous work environment.

Leistungen

Competitive compensation

Learning budget

Modern equipment

Qualifikationen

• Strong background in software engineering, AI engineering, or applied machine learning.
• Proven experience building, testing, and maintaining complex AI systems.
• Excellent programming skills in Python.

Aufgaben

• Own and evolve the core intelligence system.
• Manage and extend knowledge bases and intelligence primitives.
• Design automated testing pipelines for validation.

Kenntnisse

Software engineering

AI engineering

Applied machine learning

Python programming

Data-intensive systems

Time-series analysis

System design

Cross-functional communication

Tools

Python

GraphQL

AWS

Docker

Cloudformation

Jobbeschreibung

Senior AI Engineer

The Opportunity

Greenhouses generate terabytes of data from climate computers, sensors, and control systems. But growers are still stuck staring at dashboards, hunting for patterns, making sense of it themselves. We're changing that.

At Sera, we're building the intelligence layer that captures grower expertise and scales it across every machine, every greenhouse, every decision. Our system doesn't just display data, it reasons, recommends, and learns.

As a Senior AI Engineer, you'll own and evolve the core intelligence system at the heart of our platform. You'll be responsible for knowledge structures, reasoning mechanisms, tool integrations, and release quality, working closely with our technology and crop science teams to ship AI that works in the real world.

This is a senior individual contributor role with end-to-end ownership of a critical AI system.

What You'll Build

• Intelligence architecture, own the technical architecture of our reasoning, inference, and orchestration layers
• Knowledge systems, manage, extend, and refactor knowledge bases, and intelligence primitives across crops and use cases
• Reasoning capabilities, improve reasoning across structured data, time-series, events, and insights using LLMs and statistical models
• Testing and validation, design automated testing pipelines and validate outputs against historical data, synthetic scenarios, and real customer datasets
• Tool integrations, integrate with external tools, data sources, APIs, and AI services with clean technical interfaces
• Releases, plan, implement, test, and ship intelligence releases on a regular cadence

How You Work

We believe you'll be successful if you:

• Think problem-first, your instinct is to ask "what problem are we solving?" before jumping to solutions
• Take ownership, you see projects through from idea to production and beyond, and feel accountable for outcomes
• Build pragmatically, you find the 80/20 solution that delivers value without over-engineering
• Think in systems, you see how your service fits into the broader architecture and reason about dependencies and data flows
• Communicate clearly, you articulate complex ideas simply, in code, docs, and conversation

What We're Looking For

• Strong background in software engineering, AI engineering, or applied machine learning
• Proven experience building, testing, and maintaining complex AI or intelligence systems
• Excellent programming skills in Python and experience with data-intensive and time-series systems
• Experience with modern AI stacks including LLMs, embeddings, and orchestration frameworks
• Strong system design skills with a focus on maintainability, testability, and scalability
• Ability to work autonomously with clear ownership in a fast-moving environment
• Strong communication skills and experience working cross-functionally
• Willingness to travel and work directly with customers

Nice to Have

• Experience with knowledge graphs, semantic models, or reasoning systems
• Experience designing testing and validation pipelines for AI systems
• Familiarity with cloud-native architectures and production AI deployments
• Exposure to agricultural, industrial, or sensor-driven data domains

Our Tech Stack

• Backend: Python, GraphQL
• Data: RDS, Vector Databases, S3
• Infrastructure: AWS (Lambda, ECS, RDS), Docker, Cloudformation
• AI/ML: Anthropic, LangChain, LangGraph
• Monitoring: CloudWatch, custom observability

What We Offer

• High ownership, you'll own systems end-to-end, not just tickets
• Ground-floor impact, design core AI infrastructure from scratch
• Real-world purpose, your work helps feed the world more sustainably
• Competitive compensation, salary, equity, and growth opportunities
• Learning budget, resources to grow your skills
• Modern equipment, the tools you need to do your best work

How We Work

We're a small, high-performance team solving a hard problem. We move fast, ship often, and learn constantly. We value velocity and pragmatism over process and bureaucracy. AI is core to how we build, we use the best tools available (Claude, cursor, etc.) to accelerate development. If you're energized by autonomy, ownership, and seeing your work create real impact, you'll thrive here.

Join us to build the intelligence layer that helps humans and machines work side by side in agriculture.

At Sera, we value diverse backgrounds and perspectives. If you're excited about this role but don't tick every box, we encourage you to apply anyway—we'd love to hear from you.