Full Stack Engineer

About the Company 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. About the Role 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 Responsibilitiy Backend Services: Python 3.13, FastAPI, async micro-services architecture Data Layer: Neo4j graph database, PostgreSQL, complex data modellier AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extracting Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebook Qualifications 5+ years of professional software engineering experierence Strong proficiency in Python (3.10+) with deep understanding of async programming Experience with Poetry or similar Python dependency management 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, HTTP, 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 Required Skills 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 pipeines Understanding of service deployment, monitoring, and troubleshooting 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 ite r ation Equal Opportunity Statement 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.