Live opening · Posted 3 days ago
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Description supplied by the original job listing.
Mandatory Requirements
5+ years of hands-on software engineering experience, with at least 2 years in production AI/ML systems.
Demonstrable production experience building RAG pipelines — not prototype or tutorial-level work, but systems handling real enterprise data under real operational constraints.
Strong Python engineering skills: FastAPI or equivalent for service development, async patterns, testing, and packaging for production deployment.
Experience with hybrid search or vector retrieval in production: Elasticsearch, Vespa, FAISS, Pinecone, Qdrant, or equivalent.
Hands-on data engineering experience: ETL/ELT pipeline design, Apache Spark or equivalent at scale, Apache Airflow or equivalent for orchestration, Kafka for event-driven integration.
Solid SQL and PostgreSQL proficiency, including schema design, query optimisation, and audit log design.
Working knowledge of enterprise integration, including REST APIs, SAP OData or BAPI, or equivalent ERP connectivity.
Containerisation and Kubernetes fundamentals: Docker, Helm, deployment lifecycle management.
amiliarity with open-source LLM tooling: LangChain, LangGraph, Ollama, HuggingFace ecosystem.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent demonstrated expertise through work history.
Work arrangement
Hybrid
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