AI Engineer

Company: SERA

About the job

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 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.

Requirements

• 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

The candidate

• 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 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

Experience level: Senior

How to apply: send your CV and motivation to [email protected]