Mid Software Engineer

🔥 24 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Frontier Agriculture

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

🌾 Agriculture

🤝 B2B

☁️ SaaS

Agriculture • B2B • SaaS

Frontier Agriculture is a UK-based agribusiness that supplies seed, crop inputs, services and farm-management tools to growers and manufacturers across the agricultural supply chain. The company positions itself as advancing UK agriculture through expertise, innovation and sustainability programmes (for example specialist wheat programmes and a MyFarm farm-business platform), supporting growers and food manufacturers and investing in solutions to make the industry more resilient and adaptive.

📋 Description

• Build and maintain enterprise Software as a Service (SaaS) and white label technology solutions for agri-food enterprises • Build and maintain production-quality software using Python and TypeScript • Develop applications using Vue 3 and Nuxt in SPA mode, or equivalent reactive frameworks, alongside asynchronous Python services • Work with relational databases, preferably PostgreSQL, and SQL • Break down technical problems, diagnose and resolve bugs, and contribute scalable, maintainable solutions • Take ownership of individual stages in multi-stage asynchronous processing pipelines, including uploading, validating, processing and storing data • Integrate LLM or ML model APIs into production features • Take ownership of assigned work from development through deployment • Communicate progress, dependencies and challenges early • Contribute to planning and delivery using Agile/Scrum or equivalent methods • Collaborate with engineering, Product, QA and design colleagues • Participate in code reviews and provide constructive feedback • Share knowledge, support colleagues and help onboard new team members where appropriate • Contribute to frontend and backend work across APIs, distributed systems and microservices • Maintain clear code, system and process documentation • Develop reliable automated tests • Address security risks, performance bottlenecks and reliability issues • Build and maintain services in AWS • Apply AI-related cost, latency and reliability considerations to implementation decisions • Contribute to infrastructure, CI/CD workflows and SQL-first database migrations where relevant • Support event-driven processing, containerised Lambda functions, presigned URL uploads and asynchronous validation where used • Develop technical skills through feedback, practical delivery and knowledge sharing • Build understanding of YAGRO’s sectors, customer problems and product usage • Explore vector search, embeddings, RAG, fine-tuning, prompt engineering and AI orchestration approaches • Help evaluate model output quality through structured examples and lightweight evaluation sets • Assess custom agent and pipeline tooling, data-processing libraries and columnar or Parquet-based storage • Align work with YAGRO’s business objectives and customer needs • Build working relationships across the business and communicate technical information clearly • Assist colleagues with customer feedback or issues brought to engineering • Identify opportunities where AI could improve products or workflows and assess feasibility, benefits and trade-offs with Product, Business Development and engineering colleagues

🎯 Requirements

• Two to five years of professional software development experience • Relevant degree or a proven track record of delivering production-quality software • Strong Python and TypeScript skills • Practical experience integrating AI into production applications • Experience building production-quality software using sound engineering principles, design patterns and modular code structure • Experience with Vue 3 and Nuxt in SPA mode, or equivalent reactive frameworks • Experience with asynchronous Python services using FastAPI or equivalent technologies • Experience with relational databases, preferably PostgreSQL, and SQL • Ability to understand multi-stage asynchronous processing pipelines • Experience integrating LLM or ML model APIs into production features • Knowledge of safeguards against prompt injection and invalid outputs • Experience with Agile/Scrum or equivalent methods • Familiarity with GitHub, GitLab and Jira • Experience with automated testing frameworks such as PyTest, Jest or Playwright • Understanding of security risks, performance bottlenecks and reliability issues • Experience building and maintaining AWS services, using Lambda, RDS, S3 or Lightsail as appropriate • Understanding of AI-related cost, latency and reliability considerations • Where relevant, experience with Terraform, GitHub Actions, dbmate, event-driven processing, containerised Lambda functions, presigned URL uploads and asynchronous validation • Relevant experience with vector search, embeddings, RAG, fine-tuning, prompt engineering or LangChain is advantageous to the role • Knowledge of data-processing libraries such as Polars or pandas, and columnar or Parquet-based storage where relevant • Ability to communicate technical information clearly, verbally and in writing

🏖️ Benefits

• 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