Mid-Level Python AI Engineer: LLM, RAG & Knowledge Graph

Sigma Software

Województwo mazowieckie

On-site

PLN 150,000 - 230,000

Full time

12 days ago
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Job summary

Sigma Software is seeking a software professional to join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search over large technical documentation, or a Knowledge Graph Platform for structuring enterprise information for AI-driven use cases.

Technologies include Python, LLMs, RAG, vector embeddings, hybrid search, and knowledge graphs. You will design and implement LLM-based features, build retrieval pipelines, and take ownership from design to deployment.

Qualifications

  • 3+ years of commercial software development experience.
  • 2+ years of experience working on AI/ML projects.
  • Good Python skills with hands-on implementation experience.
  • Practical experience with LLMs and modern AI technologies.
  • Practical experience with RAG architecture, vector embeddings, and hybrid search.
  • Experience with information processing aimed at improving AI quality, including data preparation, chunking, metadata enrichment, and relevance tuning.
  • Ability to work independently and take ownership of tasks from design through deployment.
  • Upper-Intermediate English.

Responsibilities

  • Design and implement LLM-based features and RAG pipelines from data ingestion to answer generation
  • Build and optimize retrieval using vector embeddings and hybrid semantic and keyword search
  • Process, clean, and structure source information to improve the accuracy and relevance of AI-generated output
  • Evaluate model quality, experiment with new approaches, and bring proven solutions into production
  • Work closely with the team to integrate AI components into the wider platform
  • Own changes end-to-end, including design, implementation, testing, and deployment
  • Work independently while proactively communicating blockers, scope questions, and technical trade-offs

Skills

Software development
AI/ML projects
Python
LLMs
RAG
Vector embeddings
Hybrid search
Data processing
Metadata enrichment
Relevance tuning
Independent work
Ownership
English proficiency

Tools

Graph databases

Job description

Sigma Software is seeking a software professional to join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search over large technical documentation, or a Knowledge Graph Platform for structuring enterprise information for AI-driven use cases.

Technologies include Python, LLMs, RAG, vector embeddings, hybrid search, and knowledge graphs. You will design and implement LLM-based features, build retrieval pipelines, and take ownership from design to deployment.

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