### Backend DeveloperPublicFull-time40 h/weekNetherlandsOnsiteBackend Developer (Python, Django, & Agentic AI)Start date: As soon as possibleEnd date: No end dateVacancy Owner-Vacancy workspace-Yearly gross base salary65000 - 70000 EUR/y### Job Description**About the Company** the Company 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 offsites and a flat, collaborative engineering culture.