Mid Software Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and sustain enterprise Software as a Service (SaaS) and customized technology solutions for agri-food businesses.

• Create and uphold production-quality software utilizing Python and TypeScript.

• Build applications with Vue 3 and Nuxt in SPA mode, or comparable reactive frameworks, in conjunction with asynchronous Python services.

• Work with relational databases, ideally PostgreSQL, and SQL.

• Analyze technical issues, troubleshoot bugs, and contribute to scalable, maintainable solutions.

• Assume responsibility for individual phases in multi-stage asynchronous processing pipelines, including uploading, validating, processing, and storing data.

• Integrate LLM or ML model APIs into production functionalities.

• Own assigned tasks from development to deployment.

• Communicate updates, dependencies, and challenges proactively.

• Participate in planning and delivery utilizing Agile/Scrum or similar methodologies.

• Collaborate with engineering, Product, QA, and design teams.

• Engage in code reviews and offer constructive feedback.

• Share expertise, assist colleagues, and support the onboarding of new team members when appropriate.

• Contribute to both frontend and backend development across APIs, distributed systems, and microservices.

• Maintain comprehensive code, system, and process documentation.

• Develop dependable automated tests.

• Address security vulnerabilities, performance issues, and reliability concerns.

• Build and maintain services within AWS.

• Incorporate AI-related cost, latency, and reliability considerations into implementation choices.

• Contribute to infrastructure, CI/CD workflows, and SQL-first database migrations as necessary.

• Support event-driven processing, containerized Lambda functions, presigned URL uploads, and asynchronous validation as applicable.

• Enhance technical skills through feedback, hands-on delivery, and knowledge exchange.

• Develop an understanding of YAGRO’s sectors, customer challenges, and product usage.

• Investigate vector search, embeddings, RAG, fine-tuning, prompt engineering, and AI orchestration strategies.

• Assist in evaluating model output quality through structured examples and lightweight evaluation sets.

• Analyze custom agent and pipeline tools, data-processing libraries, and columnar or Parquet-based storage.

• Align efforts with YAGRO’s business goals and customer requirements.

• Cultivate working relationships across the organization and communicate technical information effectively.

• Support colleagues with customer feedback or issues directed to engineering.

• Identify areas where AI can enhance products or workflows and evaluate feasibility, advantages, and trade-offs in collaboration with Product, Business Development, and engineering teams.

⛳️ Requirements

• Two to five years of professional experience in software development.

• Relevant degree or a proven history of delivering production-quality software.

• Proficient in Python and TypeScript.

• Practical experience in integrating AI into production applications.

• Background in building production-quality software with sound engineering principles, design patterns, and modular code structures.

• Experience with Vue 3 and Nuxt in SPA mode, or similar reactive frameworks.

• Familiarity with asynchronous Python services utilizing FastAPI or comparable technologies.

• Proficient with relational databases, preferably PostgreSQL, and SQL.

• Ability to comprehend multi-stage asynchronous processing pipelines.

• Experience integrating LLM or ML model APIs into production functionalities.

• Knowledge of safeguards against prompt injection and invalid outputs.

• Experience with Agile/Scrum or equivalent methodologies.

• Familiarity with GitHub, GitLab, and Jira.

• Experience using automated testing frameworks such as PyTest, Jest, or Playwright.

• Understanding of security risks, performance bottlenecks, and reliability issues.

• Experience in building and maintaining AWS services, utilizing Lambda, RDS, S3, or Lightsail as required.

• Understanding of AI-related cost, latency, and reliability considerations.

• Relevant experience with Terraform, GitHub Actions, dbmate, event-driven processing, containerized Lambda functions, presigned URL uploads, and asynchronous validation, where applicable.

• Relevant experience with vector search, embeddings, RAG, fine-tuning, prompt engineering, or LangChain is a plus for this role.

• Knowledge of data-processing libraries such as Polars or pandas, and columnar or Parquet-based storage where applicable.

• Capability to communicate technical information clearly, both verbally and in writing.

🏝️ Benefits

• 33 days of holiday.

• Pension matching up to 10%.

• Work equipment allowance.

• Employee Assistance Programme.

• Flexible, autonomous working environment.

• Modern office located on the A14 in Cambridge.