Senior AI Engineer, LLMs, Knowledge Graphs

🕒 April 24

🇨🇿 Czechia – Remote

💵 $35 - $38 / hour

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jimmy Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🚘 Automotive

Consulting • Logistics • Automotive

Jimmy Technologies is a company specializing in providing technology solutions and innovations for the mobility industry. They focus on automotive, mobility, and fintech sectors, utilizing high-skilled development teams and proven business strategies to ensure innovative outcomes and rapid market entry. Their services include end-to-end product realization, cloud services, and technical consulting, emphasizing value-centric and outcome-driven approaches. With the implementation of their Jimmy Framework and Components, they enable cost-cutting and faster product launches, offering tailored solutions from pre-built modules developed in-house. By collaborating with clients from the initial idea to product launch, Jimmy Technologies aims to boost business efficiency and achieve significant revenue gains.

📋 Description

• Build agentic workflows using orchestration, retrieval pipelines, and validator agents with graph-aware tools • Build hybrid search pipelines combining lexical and vector retrieval • Integrate vector databases such as FAISS, Milvus, or Pinecone • Integrate LLMs including Azure OpenAI and Anthropic • Support domain-specific fine-tuning and adapter models • Develop robust API endpoints and ETL pipelines for model and agent runtimes • Create evaluation suites for reliability, drift detection, and performance optimization • Scout, incubate, and validate internal AI ideas within the client’s AI incubator • Apply Graph Neural Networks and Generative AI to workflows, semantic search, and enterprise intelligence • Work on enterprise solutions in Finance, Operations, Supply Chain, Engineering, or Investments

🎯 Requirements

• 3+ years of strong Python engineering experience • Working knowledge of knowledge graph modeling, including schemas, ontologies, and entity resolution • Hands-on experience with Neo4j, Memgraph, AWS Neptune, ArangoDB, or similar • Familiarity with graph embeddings and GNNs (GCN/GAT) is a plus • Experience designing experiments and building evaluation harnesses • Experience building RAG pipelines and agentic workflows • Experience with prompt engineering and tool/function calling • Experience building text-to-SQL or semantic parsing capabilities over structured data sources • Familiarity with LLM evaluation frameworks such as Ragas, DeepEval, or Langfuse • Experience with lexical, vector, and hybrid retrieval, embeddings, and reranking • Experience incorporating user and context signals for personalization • Experience with fine-tuning and adaptation patterns such as LoRA/QLoRA, instruction tuning, and embedding model fine-tuning • Solid knowledge of APIs, microservices, and data-centric integrations • Solid software engineering fundamentals, including clean code, testing, debugging, and code reviews • Comfort working in agile pods • Experience with AWS, Azure, or GCP and CI/CD workflows • Excellent problem-solving skills and keen attention to detail • Ability to participate in and lead technical discussions • Consultancy mindset and solution-oriented approach • Must be able to travel freely within Europe for workshops • Must be able to participate in the required 2–6 PM CET overlap • Production experience with LLM-based applications including RAG pipelines and evaluation harnesses • Production experience using graph databases, including independently modeling the schema/ontology

🏖️ Benefits

• Long-term remote-first contract position • Remote (99%) in Europe • Opportunity to work on cutting-edge R&D projects • Required US working-hours overlap (2–6 PM CET)