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.
This is a individual contributor role with end-to-end ownership of a critical AI system.
Tasks
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
Requirements
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
Benefits
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.
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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.
Sera is a Greenhouse Intelligence Platform designed for sophisticated commercial operations—large-scale producers of tomatoes, peppers, cucumbers, lettuce, and other high-wire crops.
We sit above your existing climate computers, sensors, irrigation systems, energy meters, and logs. Instead of adding more graphs or alerts, we interpret the full picture: correlating millions of points across climate, root-zone, pests, energy, and crop demand to explain why things are happening and what to do next.
Our assistant delivers those insights in natural language—via chat, daily briefs, or automated workflows—so your team gets the “why” and “what next” without digging through screens.
