Mid Software Engineer

Frontier Agriculture

. Build and maintain enterprise Software as a Service (SaaS) and white label technology solutions for agri-food enterprises .

Posted 10/6/2026full-timeRemote • Cambridge • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production-quality Software as a Service (SaaS) solutions using Python, TypeScript, and Vue 3, while integrating AI technologies and managing multi-stage asynchronous processing pipelines. Strong ability to collaborate across teams and communicate technical information effectively.

Highest-signal resume keywords

Python DevelopmentTypeScript DevelopmentVue 3 Application DevelopmentAWS Services ManagementAI Integration in Production

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Hard Skills

Production-Quality Software DevelopmentAsynchronous Python ServicesRelational DatabasesAutomated Testing FrameworksMulti-Stage Asynchronous ProcessingIntegration of LLM or ML Model APIsAgile/Scrum MethodologiesSecurity Risk ManagementData-Processing LibrariesEvent-Driven Processing

Soft Skills

Clear CommunicationCollaborationKnowledge SharingProblem-SolvingConstructive Feedback

Tools & Technologies

GitHubGitLabJiraFastAPITerraformGitHub ActionsPyTestJestPlaywrightAWS Lambda

Industry Keywords

SaaS SolutionsAgri-Food EnterprisesAI OrchestrationVector SearchPrompt Engineering

Tech Stack

Tools & technologies

AWSDistributed SystemsJestMicroservicesNuxtPandasPostgresPythonSQLTerraformTypeScriptVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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