Senior GenAI Engineer with German
Remote · Romania
RomaniaRemoteFull TimeSenior LevelNot SpecifiedUnknown
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Unknown
Job Summary
Senior GenAI Engineer with German language proficiency to design, optimize, and scale prompt engineering, RAG systems, and LLM deployments for enterprise AI applications in the financial sector. The role emphasizes building and evaluating prompts, retrieval and embedding pipelines, vector-database-backed context management, safety guardrails, API exposure, and deployment across cloud/on-prem environments, with a focus on Python-based data science tooling and LangChain-like frameworks.
Required Qualifications
- 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn)
- Proven experience in prompt engineering and LLM behavior analysis
- Extensive hands-on experience with LLM integration frameworks such as LangChain or similar
- Experience designing retrieval pipelines, including chunking, embedding generation, and ranking strategies
- Hands-on experience with vector databases (PG Vector, FAISS, Pinecone, Weaviate, etc.)
- Strong understanding of embeddings and semantic search
- Experience with context window optimization, memory strategies, and token efficiency techniques
- Experience implementing prompt injection protection, output filtering, and policy enforcement mechanisms
- Experience building and exposing APIs for AI systems
- Experience with serving LLM applications, including scaling and latency optimization
- Familiarity with deployment in cloud and/or on-premise environments
- Experience with logging, monitoring, and system observability
- Experience building automated evaluation pipelines for LLM systems
- Nice to have: Java/Spring, Angular, LLM observability tools, real-time/streaming inference
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