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Middle Python Developer, ML
Sigma Software Group. Join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing LLM-based features and RAG pipelines, with a strong focus on data processing and improving AI output quality. Proficient in Python and experienced in AI/ML projects, with a solid understanding of vector embeddings and hybrid search techniques.
Highest-signal resume keywords
Python ProgrammingLLM ImplementationRAG ArchitectureVector EmbeddingsAI/ML Project Experience
ATS Keywords
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Hard Skills
Software DevelopmentData ProcessingInformation StructuringModel EvaluationAnswer Generation
Soft Skills
Independent WorkProactive CommunicationOwnership of Tasks
Tools & Technologies
Hybrid SearchKnowledge GraphsGraph Databases
Industry Keywords
Telecommunications
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases
- 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
Requirements
What you’ll need- 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
- Experience with knowledge graphs or graph databases (a plus)
- Background in the telecommunications domain (a plus)
Benefits
Comp & perks- Employees can work remotely