Intellias

Principal AI/RAG Engineer

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SeniorZdalnie·KrakówFull-time·B2B

#449557·Dodano 24 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

Python LLMRAG

Podsumowanie oferty

The Principal AI/RAG Engineer will design and build catalog, semantic, metadata, and analytical layers to transform complex on-premise data estates into AI-accessible systems. The role involves improving retrieval quality, building evaluation frameworks, developing extraction pipelines, and enabling trusted AI-powered experiences in a financial environment. Responsible for production-grade AI and RAG solutions with strong collaboration with client stakeholders.

Wymagania

Must Have:

6+ years of commercial Python development experience.
2+ years hands-on experience building production LLM and RAG systems.
Strong understanding of retrieval pipelines, vector databases, structured information extraction, and AI operational tooling.
Experience with evaluation frameworks such as Langfuse, RAGAS, DeepEval or similar.
Expertise in hybrid retrieval techniques: keyword search, semantic search, cross-encoder reranking, retrieval optimization.
Experience with document processing and extraction pipelines.
Knowledge of OCR-based document processing.
Practical experience working with AI agents and agentic workflows.
Advanced PostgreSQL knowledge including relational data modeling, JSONB, schema migrations, data transformations.
Strong understanding of data governance, provenance, and traceability.
Excellent communication skills in English.

Nice to Have:

SharePoint and Microsoft Graph API integrations.
Knowledge graph technologies such as Neo4j or Apache AGE.
Experience building permission-aware retrieval systems.
Experience with MCP tools, AI agents or AI coding assistants.
Legal, contract management or document intelligence domain knowledge.
Financial services experience.
Experience working in regulated enterprise environments.
Bitemporal data modeling and document lineage solutions.
Cost and token-efficiency optimization for LLM applications.

Obowiązki

Design and develop production-grade AI and RAG solutions.
Build and maintain evaluation frameworks, automated test suites, and quality gates for AI systems.
Enhance retrieval pipelines using hybrid search, reranking, and metadata-driven filtering.
Develop document intelligence solutions including structure-aware parsing, chunking, and information extraction.
Build metadata and entity extraction pipelines with confidence scoring and human review workflows.
Design synchronization mechanisms for enterprise content platforms.
Develop document lineage, temporal views, and document relationship models.
Contribute to knowledge graph and query orchestration capabilities.
Create monitoring, observability, and quality dashboards for AI services.
Ensure provenance, traceability, and governance across generated answers and extracted information.
Collaborate directly with client stakeholders in a regulated financial environment.

Benefity

Work on cutting-edge AI and Agentic AI initiatives.
Influence the architecture of enterprise-scale AI platforms.
Solve complex challenges related to trusted and secure AI adoption.
Collaborate directly with an internationally recognized financial institution.
High level of technical ownership and autonomy.
Fully remote work model.
Long-term strategic project with significant business impact.

Inne informacje

Przesyłając ten formularz, wyrażasz zgodę na przetwarzanie Twoich danych osobowych zgodnie z naszą Polityką Prywatności Rekrutacji - https://career.intellias.com/recruitment-privacy-notice. Jeśli chcesz wycofać swoją zgodę lub masz jakiekolwiek pytania dotyczące naszej Polityki Prywatności Rekrutacji, skontaktuj się z nami([email protected])

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