Summary
✨ AI‑Generated
Join a software engineering team as a mid-level Python developer building production-grade backend services. You will design asynchronous APIs, create modular and type-safe components, integrate databases and external services, containerize applications, write thorough tests, and explore agentic AI frameworks.
Highlights
Mid-level backend engineering role centered on modern Python development, asynchronous services, FastAPI, testing, and clean architecture. The position also provides hands-on exposure to agentic AI development and responsible use of AI-assisted coding tools.
Description
We are looking for a mid-level Python developer with strong software-engineering fundamentals and experience building production backend systems.
You should be comfortable designing, testing, and maintaining Python applications independently, while using LLM-assisted coding tools critically and responsibly.
Responsibilities
Build asynchronous Python services and FastAPI-based APIsDesign modular, loosely coupled components with clear responsibilitiesIntegrate databases, APIs, and external servicesDevelop agentic applications using frameworks such as OpenAI Agents SDK or Pydantic AIWrite type-safe, well-tested, maintainable codeContainerize services using DockerReview both human-written and AI-generated code
Required Experience
Strong Python and asyncio knowledgeExperience with FastAPI and API designModular design, separation of concerns, and loose couplingDatabase integration and connector experiencePython type annotations and static type checkingUnit testing with pytestModern Python tooling such as uv, ruff, mypy, or pyrightDocker and microservice fundamentalsGit and collaborative development workflowsAgentic AI Experience
Experience with an agent framework such as OpenAI Agents SDK, Pydantic AI, or LangGraphUnderstanding of tool calling, structured outputs, context management, guardrails, and evaluationExperience using AI-assisted coding toolsAbility to assess AI-generated code for correctness, security, maintainability, and architectural fitNice to Have
Experience with PostgreSQL, Redis, or document databasesFamiliarity with SQLAlchemy or asynchronous database driversExperience with MCP, A2A, or similar AI integration protocolsFamiliarity with LLM observability platforms and CI/CD pipelines
Benefits
Competitive remuneration packageHealth insurancePension SchemeFlexi time, hybrid workFriendly office environment (pool table, darts board and gaming corner)Daily catered lunch, sodas, coffee, snacks, etc.
