AI Engineer (BucharestMunich Hybrid)

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. Were changing that.

At Sera were building the intelligence layer that captures grower expertise and scales it across every machine every greenhouse every decision. Our system doesnt just display data it reasons recommends and learns.

As a AI Engineer youll own and evolve the core intelligence system at the heart of our platform. Youll 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 individual contributor role with end-to-end ownership of a critical AI system.

Tasks

What Youll 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

Requirements

What Were 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

Benefits

What We Offer

- High ownership youll 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

Were 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 youre energized by autonomy ownership and seeing your work create real impact youll thrive here.

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

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At Sera we value diverse backgrounds and perspectives. If youre excited about this role but dont tick every box we encourage you to apply anywaywed love to hear from you.