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: Enjoy a flexible work environment, equity options, and opportunities for growth.
- Other info: Be part of a small, agile team where your contributions truly matter.
- Why this job: Make a real impact by working on cutting-edge technology in a collaborative team.
- Qualifications: 5+ years in software development, strong Python skills, and a passion for AI.
The predicted salary is between 60000 - 80000 € 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 (remote or hybrid) employer: Prolo
Prolo is an exceptional employer for Full Stack Developers, offering a dynamic and innovative work environment where you can significantly impact the development of AI-powered solutions in the construction industry. With a strong emphasis on employee growth, you'll have the opportunity to work across the entire technology stack, learn new technologies, and take ownership of projects, all while enjoying the flexibility of a hybrid or remote work setup. Additionally, Prolo provides meaningful equity stakes, ensuring that your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer (remote or hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a personal project or contribute to open-source. This not only sharpens your coding chops but also gives you something tangible to discuss during interviews. Plus, it shows you're passionate about what you do!
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. We all know that coding interviews can be tough, so get comfortable with problem-solving under pressure.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our innovative projects.
We think you need these skills to ace Full Stack Developer (remote or hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, async programming, and any relevant experience with AWS or micro-services. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and software development, and explain why you're excited about joining our team at Prolo. Let us know how your background aligns with our mission to revolutionise the construction industry.
Showcase Your Projects:If you've worked on any projects that demonstrate your full-stack capabilities, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your work and how you tackle challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to be part of our journey!
How to prepare for a job interview at Prolo
✨Know Your Tech Stack
Make sure you’re well-versed in 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. Use examples that highlight your analytical skills and ability to debug complex issues, as this role requires a strong problem solver.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with a small team, be ready to share experiences where you successfully collaborated with others. Highlight your communication skills and adaptability, as these are key traits for thriving in a startup environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and the engineering culture at Prolo. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
