At a Glance
- Tasks: Join us to build innovative AI solutions and shape the future of procurement.
- Company: Prolo, a dynamic startup revolutionising the construction industry with AI.
- Benefits: Flexible remote work, equity options, and opportunities for personal growth.
- Other info: Be part of a small team where your contributions truly matter.
- Why this job: Make a real impact while working with cutting-edge technologies in a collaborative environment.
- Qualifications: 5+ years in software development, strong Python skills, and a passion for AI.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture.
As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity.
Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows.
We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes:
- Backend Services: Python 3.13, FastAPI, async micro-services architecture
- Data Layer: Neo4j graph database, PostgreSQL, complex data modelling
- AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction
- Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3)
- DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code
- Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks
Required Qualifications
- Software Development: ~5+ years of professional software engineering experience
- Strong proficiency in Python (3.10+) with deep understanding of async programming
- Experience with Poetry or similar Python dependency management tools
- Experience building RESTful APIs and micro-services
- Solid understanding of database design and optimisation (both SQL and NoSQL)
- Experience with graph databases (Neo4j preferred) or willingness to learn quickly
- Knowledge of event-driven architectures and message queues
- Knowledge of API design principles, data validation, and serialisation
- Experience with AWS Lambda and serverless architectures
- Experience working across the stack (backend + some frontend)
- Understanding of web technologies, and API integrations
- Ability to contribute to responsive frontend code when needed
- Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically
DevOps & Infrastructure
- Hands-on experience with cloud platforms (AWS preferred)
- Experience with containerisation (Docker) and orchestration (Kubernetes)
- Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
- Experience setting up CI/CD pipelines
- Understanding of service deployment, monitoring, and troubleshooting
Data Science/Analytics
- Experience with data analysis using Python (pandas, numpy)
- Understanding of data pipelines and ETL processes
AI/LLM Engineering
- Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications
- Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs
- Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning
Soft Skills
- Wearer of Many Hats: Comfortable switching contexts and working across different domains
- Self-Starter: Ability to work independently and take ownership of projects
- Problem Solver: Strong analytical and debugging skills
- Collaborative: Excellent communication skills and ability to work in a small team
- Adaptable: Comfortable with ambiguity and rapid iteration
Nice-to-Have Qualifications
- Experience with observability tools (OpenTelemetry, Prometheus, Grafana)
- Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously
- Experience with FastAPI or similar async Python web frameworks
- Experience with Neo4j or other graph databases
- Experience with graph algorithms and network analysis
- Experience with Helm and Kubernetes operators
- Background in data science, statistics, or scientific computing
- Experience with graph analytics or network analysis
- Experience with RAG, LLM Orchestration and MCP
- Experience in early-stage startups
What We Offer
- Impact: Direct influence on product direction and technical decisions
- Growth: Opportunity to work across the entire stack and learn new technologies
- Ownership: Take ownership of features from conception to deployment
- Flexibility: Hybrid, remote-friendly work environment
- Equity: Meaningful equity stake in the company
- Learning: Access to cutting-edge technologies and challenging problems
Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.
Full Stack Developer - PART TIME in London employer: Prolo
Prolo is an exceptional employer for Full Stack Developers, offering a dynamic and innovative work environment where your contributions directly shape the future of AI solutions in the construction industry. With a strong emphasis on employee growth, you will have the opportunity to work across the entire technology stack, learn cutting-edge technologies, and take ownership of impactful projects, all while enjoying a flexible, hybrid work culture that values collaboration and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer - PART TIME in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at Prolo or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, micro-services, or AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with async programming, RESTful APIs, and cloud platforms like AWS. Confidence in your skills will shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Prolo and contributing to our exciting AI-powered projects.
We think you need these skills to ace Full Stack Developer - PART TIME in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with the technologies mentioned in the job description. We want to see how your skills align with what we're building at Prolo!
Show Off Your Projects:Include links to any relevant projects or GitHub repositories that showcase your full-stack development skills. We love seeing practical examples of your work, especially if they involve AI or cloud technologies!
Be Yourself:Let your personality shine through in your application. We’re looking for self-starters who can wear many hats, so don’t be afraid to share your unique approach to problem-solving and collaboration.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Prolo
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, FastAPI, and AWS. Brush up on your knowledge of async programming and micro-services architecture, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Prolo values problem solvers, so be ready to demonstrate your analytical skills and how you approach debugging and troubleshooting.
✨Be Ready to Collaborate
Since the role involves working closely with a small team, think of examples that highlight your collaborative spirit. Share experiences where you’ve successfully communicated and worked with others to achieve a common goal.
✨Demonstrate Your Adaptability
Prolo is a startup environment, so they’ll appreciate candidates who can wear many hats. Prepare to discuss times when you’ve had to switch contexts quickly or adapt to new challenges, showcasing your versatility and self-starter attitude.
