Job
In this role, you will design a versioned Public REST API and enhance complex AI frameworks while working on the end-to-end implementation of new features in both backend and frontend.
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Job technologies
Your role in the team
- Design and implementation of a versioned public REST API (v1) including authentication concept (API Keys, OAuth2), rate limiting, and standardized error formats according to OpenAPI 3 / SemVer.
- Expansion of the agentic LLM framework (LangGraph / LlamaIndex) with Safety Guardrails, Multi-Step Retrieval, Tool Use, and Observability.
- Extension of modular data connectors (MS Graph, SharePoint, Confluence, Slack, etc.) according to a unified architecture standard.
- Performance optimization of database queries, vector store abstractions, and asynchronous data loading pipelines (Celery).
- End-to-End implementation of new features via backend API and TypeScript frontend - including code reviews, coding guidelines, and technical documentation.
- Technical lead responsibility for subsystems (e.g., Public API, Connectors): independent work at the Epic level from requirements analysis to production release, as well as active participation in architectural decisions and code quality standards.
Our expectations of you
Education
- Ideally 10 or more years of experience in software development and a degree in computer science or a related field (not mandatory).
Qualifications
- Excellent Python skills (FastAPI, async/await, Dependency Injection, pytest) as well as solid Linux and Docker expertise (Microservices, Network Isolation).
- Proven API design: REST, OpenAPI/Swagger, versioning strategies, and standardized error handling — as well as authentication protocols (OIDC, OAuth2, JWT) from production use.
- Fluent German skills at native speaker level as well as business-fluent English.
Experience
- Frontend experience with modern TypeScript (SvelteKit, React, or Vue), relational database design/optimization with PostgreSQL, and an independent, structured way of working.
- Experience with LLMs, RAG systems, or AI infrastructure (vLLM, LangChain, vector databases), asynchronous task queues (Celery, Redis), as well as monitoring & observability (Prometheus, Grafana) are a plus but not a must.
What we offer
- Attractive salary + company pension scheme with a 30% employer contribution (ETF-based).
- Flexible working - Flextime and home office option after onboarding.
- Genuine team - short communication channels, a culture of appreciation, regular events (Oktoberfest, Christmas party, afterwork).
- EGYM Wellpass - Yoga, Pilates, Running Training in the Park with External Coach.
- JobRad + free parking.
- Family-friendly - Subsidies for childbirth and childcare.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
FAST LTA is the specialist for secure secondary and long-term storage systems. The combination of durable and maintenance-free hardware, integrated software for data backup and on-site maintenance contracts with up to 10 years of runtime provide long-term, cost-effective storage of data from archive and backup applications.
- 1999
- Established Company
- Onsite, Hybrid
- Internet, IT, Telecommunication
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