Middle Python Developer (ML)

Sigma Software; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

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Job summary

Sigma Software is seeking an experienced AI/ML software engineer to join one of two AI initiatives: ChatCPI or a Knowledge Graph Platform for enterprise AI use cases. You will design and implement LLM-based features, optimize retrieval, and process data to improve AI outputs.

The role requires 3+ years of software development and 2+ years in AI/ML projects, with strong Python skills and hands-on experience with LLMs, RAG, embeddings, and hybrid search. English level is upper-intermediate.

Qualifications

• 3+ years of commercial software development experience.
• 2+ years of experience working on AI/ML projects.
• Strong Python skills with hands-on implementation.
• Practical experience with LLMs and modern AI technologies.
• Practical experience with RAG architecture, vector embeddings, and hybrid search.
• Experience with information processing to improve AI quality (data preparation, chunking, metadata enrichment, relevance tuning).
• Ability to work independently and take ownership from design to 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 AI output accuracy and relevance.
• Evaluate model quality and experiment with new approaches, bringing proven solutions into production.
• Collaborate with the team to integrate AI components into the wider platform.
• Own changes end-to-end, including design, implementation, testing, and deployment.
• Communicate blockers, scope questions, and technical trade-offs proactively.

Skills

Python programming

LLMs & AI technologies

RAG architecture

Vector embeddings

Hybrid search

Data processing

Independent contributor

English (Upper-Intermediate)

Graph awareness

Tools

Graph databases

Job description

You will 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
• 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
• WILL BE A PLUS
• Experience with knowledge graphs or graph databases
• Background in the telecommunications domain

CUSTOMER

Our Customer is a leading Swedish telecommunications company recognized for delivering innovative large-scale technology solutions across complex infrastructure environments. The company operates internationally, serving millions of users and working with global technology leaders to drive digital transformation in the telecommunications industry.

PROJECT

You will 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.

Technologies: Python, LLMs, RAG, vector embeddings, hybrid search, knowledge graphs.