Senior AI Engineer - Production LLMs & RAG Pipelines

Sii Poland; Szczecin; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Centre of internal trainings

Profit sharing

Medical care

Job summary

Sii Poland is building a new AI team to deliver production-grade AI systems powered by LLMs in a regulated environment. The roles include Tech Lead and Senior Engineers who will work as a cohesive unit.

Responsibilities cover designing data pipelines, integrating LLM models, and creating scalable cloud infrastructure. You will collaborate with Data Science teams to productionize models and develop robust evaluation and monitoring frameworks.

Qualifications

• Minimum 5 years of commercial experience in software development or AI/ML engineering.
• Strong Python skills with solid software engineering practices (modular design, testing, code reviews).
• Hands-on experience with LLM frameworks such as LangChain, LangGraph, or LlamaIndex.
• Experience with vector databases (e.g., Pinecone, Weaviate, pgvector, OpenSearch).
• Experience working with SQL and cloud-based data systems.

Responsibilities

• Design and develop production-ready AI systems based on LLMs and agent-based workflows.
• Build and maintain data pipelines for retrieval, orchestration, and evaluation.
• Implement solutions using LangChain, LangGraph, LlamaIndex, or custom approaches.
• Develop and optimize RAG pipelines (chunking, embedding, retrieval, reranking).
• Integrate LLM models (OpenAI and open-source) and support model selection decisions.
• Collaborate with Data Science teams to productionize ML models.
• Build evaluation frameworks (metrics, test sets, regression tests) and monitor system performance.

Skills

Python

English fluency

Software engineering practices

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

Weaviate

pgvector

OpenSearch

SQL

Cloud platforms

Job description

Sii Poland is building a new AI team to deliver production-grade AI systems powered by LLMs in a regulated environment. The roles include Tech Lead and Senior Engineers who will work as a cohesive unit.

Responsibilities cover designing data pipelines, integrating LLM models, and creating scalable cloud infrastructure. You will collaborate with Data Science teams to productionize models and develop robust evaluation and monitoring frameworks.