Frontier Agriculture
Mid Software Engineer
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Mid Software Engineer
YAGRO Ltd (www.yagro.com) are seeking a Mid Software Engineer with strong Python and TypeScript skills and practical experience integrating AI into production applications. The role is responsible for building and maintaining enterprise Software as a Service (SaaS) and white label technology solutions for agri-food enterprises. Working alongside senior engineers, you will take ownership of development tasks, contribute across the stack and help deliver reliable, user-friendly software, applying AI where it adds value. You will bring two to five years of professional software development experience and a relevant degree or a proven track record of delivering production-quality software.
Whilst this is a largely remote role, you will be required to attend the Cambridge office one day a week.
Key Responsibilities
Technical Proficiency & Problem Solving
- Build and maintain production-quality software using Python and TypeScript, applying sound engineering principles, design patterns and modular code structure.
- Develop applications using Vue 3 and Nuxt in SPA mode, or equivalent reactive frameworks, alongside asynchronous Python services using FastAPI or equivalent technologies.
- Work confidently with relational databases, preferably PostgreSQL, and SQL.
- Break down technical problems, diagnose and resolve bugs, and contribute scalable, maintainable solutions with guidance from senior engineers where needed.
- Understand multi-stage asynchronous processing pipelines and take ownership of individual stages, including uploading, validating, processing and storing data.
- Integrate LLM or ML model APIs into production features, writing and reviewing prompts with appropriate safeguards against prompt injection and invalid outputs.
Project Contribution & Collaboration
- Take ownership of assigned work from development through deployment, showing initiative and communicating progress, dependencies and challenges early.
- Contribute to planning and delivery using Agile/Scrum or equivalent methods and collaboration tools such as GitHub, GitLab and Jira.
- Work effectively with engineering, Product, QA and design colleagues, participating in code reviews and providing constructive feedback.
- Share knowledge, support colleagues and, where appropriate, help onboard new team members.
- Work alongside senior engineers, including colleagues experienced in AI and retrieval-augmented generation (RAG), to build the team’s confidence in applying AI to practical problems.
- Contribute to frontend and backend work according to your experience, developing a broader understanding of APIs, distributed systems and microservices.
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Non-functional Practice
- Maintain clear code, system and process documentation, and develop reliable automated tests using frameworks such as PyTest, Jest or Playwright.
- Follow and promote good engineering practices, addressing security risks, performance bottlenecks and reliability issues within the systems you work on.
- Build and maintain services in AWS, using Lambda, RDS, S3 or Lightsail as appropriate to the product.
- Apply your understanding of AI-related cost, latency and reliability to implementation decisions, including recognising when a deterministic approach is more suitable.
- Where you have relevant experience, contribute to infrastructure managed through Terraform, CI/CD workflows using GitHub Actions, and SQL-first database migrations using tools such as dbmate.
- Support event-driven processing, containerised Lambda functions, presigned URL uploads and asynchronous validation where these patterns are used.
Learning & Continuous Improvement
- Develop your technical skills through feedback, practical delivery and knowledge sharing, taking an active interest in developments across software engineering and AI.
- Build your understanding of the sectors YAGRO serves, the problems customers face and how users interact with our products.
- Explore relevant approaches with senior engineers, drawing on any experience of vector search, embeddings, RAG, fine-tuning, prompt engineering or AI orchestration frameworks such as LangChain.
- Help evaluate model output quality through structured examples and lightweight evaluation sets.
- Where relevant, develop your knowledge of custom agent and pipeline tooling, data-processing libraries such as Polars or pandas, and columnar or Parquet-based storage, assessing their usefulness against the problem being solved.
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Product & Business Understanding
- Align your work with YAGRO’s business objectives and customer needs, contributing reliable, user-friendly solutions that deliver practical value.
- Build approachable working relationships across the business and communicate technical information clearly, both verbally and in writing.
- Assist colleagues when they bring customer feedback or issues to engineering, asking questions to understand the underlying need.
- Identify opportunities where AI could improve a product or workflow, then work with Product, Business Development and engineering colleagues to assess feasibility, benefits and trade-offs before recommending an approach.
Why work for us?
At YAGRO, you’ll have the opportunity to build technology that helps agri-food businesses make better use of their data. Working in a collaborative team, you’ll take ownership of development tasks, learn from experienced engineers and see the impact of your work on customers. For a Mid Software Engineer, this is an opportunity to develop your skills across the stack and apply AI to practical customer problems. We value curiosity, initiative and practical problem-solving, giving you room to contribute ideas, share knowledge and grow alongside the business.
Package includes
- 33 days holiday
- Pension matching up to 10%
- Work equipment allowance
- Employee Assistance Programme
- Flexible, autonomous working
- New modern office, positioned on the A14 in Cambridge
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