GenAI Engineer – Conversational Analytics

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MidHybryda·WarszawaFull-time

#432895·Dodano miesiąc temu·5

Źródło: nofluffjobs.com

🚫Oferta wygasła. Ta oferta pracy nie jest już aktywna i rekrutacja została zakończona.

Tech Stack / Keywords

Java Python Machine learning Spark

Firma i stanowisko

PKO Finat Sp. z o.o. works on an AI solution enabling natural language queries over data and an Unstructured Data Repository platform for processing and sharing unstructured data like documents, images, and audio for AI use.

Wymagania

Very good knowledge of Java and/or Python
Practical experience building solutions with large language models (LLMs)
Familiarity with at least one framework such as LangChain4j, Google ADK, Pydantic AI, or Spring AI
Knowledge of Google BigQuery including SQL, data modeling, cost, and performance optimization
Experience creating services and integrating REST APIs
Ability to test and diagnose systems based on LLMs
Understanding of best practices for software creation, deployment, and maintenance

Nice to have:

Experience with NL2SQL, conversational analytics, or BI-as-chat solutions
Knowledge of RAG, embeddings, chunking, and re-ranking techniques
Experience processing documents, images, or audio including OCR, text extraction, and transcription
Experience evaluating GenAI systems with offline and online tests, and prompt versioning
Knowledge of semantic or metrics layers, caching, and pre-aggregation
Familiarity with MCP and agent architectures
Experience with vector databases like Qdrant, Pinecone, Weaviate, or Milvus
Knowledge of graph databases like Neo4j and the GraphRAG approach
Familiarity with FastAPI, Kubernetes, Cloud Run, and Pub/Sub
Knowledge of Rust
Experience in regulated environments covering audit, data classification, access control, and sensitive data protection

Obowiązki

Design and develop the "chat with data" solution, focusing on NL2SQL mechanisms and conversational analytics
Build services using large language models and integrate models with corporate data and systems
Implement safeguards to limit hallucinations, incorrect queries, and unauthorized data access
Develop RAG solutions including chunking, embeddings, semantic search, and re-ranking
Design tests and evaluations for GenAI solution quality
Optimize quality, performance, and cost of BigQuery queries
Create services and API integrations in Java and/or Python
Support the Unstructured Data Repository for processing documents, images, and audio, including content and metadata extraction
Integrate AI models with unstructured data processing workflows
Deploy, monitor, and maintain solutions following DevSecOps practices

Inne informacje

Forma współpracy: B2B. Work mode is hybrid (office and remote).

PKO Finat Sp. z o.o.

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