Senior AI Developer with LLM Orchestration, Intelligent Knowledge Platform
DataArt
This role focuses on building a next-generation enterprise knowledge platform that leverages LLMs, semantic search, and graph technologies. You will design and implement retrieval-augmented generation pipelines, embedding strategies, entity extraction, and agentic workflows. The team uses agile practices and collaborates across AI, backend, data engineering, and product specialties.
Brakuje: team size not specified., exact cloud platform not detailed (only google cloud mentioned)..
This role focuses on building a next-generation enterprise knowledge platform that leverages LLMs, semantic search, and graph technologies. You will design and implement retrieval-augmented generation pipelines, embedding strategies, entity extraction, and agentic workflows. The team uses agile practices and collaborates across AI, backend, data engineering, and product specialties.
- ✓Competitive salary range provided transparently.
- ✓Fully remote option.
- ✓Use of cutting-edge technologies (LLMs, graph databases, Gemini platform).
- !No explicit mention of team size or on-call expectation.
- !Broad tech stack requiring both AI and infrastructure skills may indicate high workload.
- •Develop and maintain end-to-end LLM orchestration and retrieval pipelines (RAG).
- •Design and implement embedding generation and chunking strategies with context window management.
- •Build entity extraction pipelines that transform unstructured content into graph structures.
- •Implement semantic search solutions and prompt engineering patterns.
- •Develop agentic workflows to support complex reasoning tasks.
- •Create and maintain evaluation frameworks with ground truth datasets and regression testing.
- •Measure and improve system performance using metrics like recall, precision, answer relevance, faithfulness.
- •Collaborate with team members to design scalable and reliable systems.
Oferta dla doświadczonych specjalistów (Senior).
A mid-level AI developer with at least 3 years of experience in building applications with LLMs, proficiency in Python, and familiarity with vector databases and semantic search. They have basic knowledge of graph concepts and are willing to learn and contribute to the knowledge platform project.
Not for junior developers with less than 3 years of experience or those without hands-on LLM and RAG background. Also not for candidates primarily focused on frontend or non-AI backend roles.
- ?How large is the current AI team and what is the split between AI engineers and other roles?
- ?Is the project greenfield or based on existing infrastructure?
- ?What specific cloud platform is used beyond Google Cloud? (AWS/Azure?)
- ?How is on-call handled for production systems?
- ?What is the expected timeline for the project and how many milestones are planned?
- −Team size not specified.
- −Exact cloud platform not detailed (only Google Cloud mentioned).
- −Project greenfield status unclear.
- −On-call responsibilities not mentioned.
- −Professional development budget not specified.
The team operates in an agile environment with close collaboration, knowledge sharing, and iterative delivery practices.
Na poziomie rynkowym
≈ 154,8–184,5 zł/h
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