Backend Developer

About GloPros GloPros is a Recruitment & Consulting company, powered by an AI-platform. We deliver global professionals across every industry, high-skilled and available as permanent hires, freelancers or consultants. You'll join a team that values professionalism, integrity, and continuous improvement. As part of our tech team, you will build and strengthen the backend systems that power the platform: business-critical APIs, data workflows, third-party integrations, search, and selected agentic AI features used by recruiters and candidates. About the Role We are looking for a hands-on Backend Developer who enjoys turning product requirements into reliable, maintainable software. Your primary focus will be our Python/Django backend: designing APIs, modelling domains and data, improving performance, and raising engineering quality across the codebase. Agentic AI is an important part of our roadmap, but this is not a pure AI or ML role. You will integrate LLMs and retrieval components where they solve a real user problem, and you may build or improve agents for matching, outreach, enrichment, and workflow automation. We expect the role to be approximately 75–80% backend/platform engineering and 20–25% agentic AI work. What You’ll Do Develop, maintain, and scale backend services in Python and Django, including REST APIs, domain logic, data models, and background jobs.Design clear API contracts and collaborate with frontend developers and product stakeholders from discovery through production rollout.Model and optimize data in PostgreSQL; improve query performance, indexing, transactions, and data integrity.Build reliable asynchronous workflows using Celery and Redis, with appropriate retries, idempotency, and observability.Integrate external platforms and APIs, including ATS, HR, sourcing, and recruitment systems, with robust error handling and monitoring.Improve backend architecture incrementally, separating business logic from views and serializers and establishing clear service, selector, and domain boundaries.Write automated tests, review code, investigate production issues, and improve CI/CD practices so the team can ship safely and frequently.Contribute to AWS infrastructure and Terraform-managed environments together with the wider engineering team.Build and productionize selected agentic AI capabilities, such as candidate enrichment, matching explanations, outreach drafting, or workflow automation.Integrate LLM APIs and search/retrieval components with attention to latency, cost, privacy, evaluation, fallbacks, and operational reliability.Use AI-assisted engineering tools pragmatically for code review, testing, documentation, and codebase navigation. What We’re Looking For 3–7 years of professional backend development experience, with strong production experience in Python.Hands-on experience with Django and Django REST Framework, or comparable experience and a willingness to work deeply in Django.Strong understanding of REST API design, authentication and authorization, background processing, and integration patterns.Solid PostgreSQL knowledge, including relational modelling, migrations, indexing, and query optimization.Experience writing clean, testable code and working with automated tests, code review, Git, Docker, and CI/CD.Experience deploying or operating services in AWS and familiarity with infrastructure as code, preferably Terraform.A practical product mindset: you clarify requirements, make sensible trade-offs, and take ownership from implementation through production support.Clear communication and a collaborative approach to working with backend, frontend, product, and other stakeholders.Interest in agentic AI and LLM-powered product features; production experience is valuable, but deep ML research experience is not required. Bonus Points Experience with OpenSearch, Weaviate, FAISS, Pinecone, or another search/vector database.Experience with retrieval-augmented generation, hybrid search, embeddings, or LLM evaluation.Familiarity with LangChain, LlamaIndex, or a comparable orchestration framework.Experience building AI agents, tool-calling workflows, voice agents, or human-in-the-loop automation.Experience with high-volume webhooks, third-party integrations, or recruitment/HR technology.Familiarity with domain-driven design or an opinionated Django service/selector architecture.Experience improving observability, application security, or performance in a production SaaS platform. How We Work Backend reliability and maintainability come first; AI is used where it creates measurable product value.We make architectural improvements incrementally while continuing to deliver customer-facing features.Technical decisions and important agreements are documented so the team can work with shared context.New standards are proposed, discussed, and adopted collaboratively.Engineers are encouraged to bring ideas, challenge assumptions, and own outcomes—not only tickets. What Success Looks Like You ship dependable backend features that are easy for others to understand, test, and extend.You improve API quality, database performance, background processing, and production visibility in the areas you touch.You help reduce architectural friction and move business logic toward clearer, well-tested boundaries.You contribute agentic features that are evaluated, monitored, cost-conscious, and useful in real recruitment workflows.You raise team quality through thoughtful code reviews, documentation, and constructive technical collaboration. Location & Benefits Amsterdam-based hybrid working: four days in the office and one day remote.Competitive salary and ESOP participation.Annual learning and development budget.Access to modern AI tooling and infrastructure.Regular team offsite, collaborative engineering culture.