Remote Senior AI/ML Engineer — Generative AI & RAG

Zolon Tech Solutions Inc

United States

Remote

USD 170,000 - 250,000

Full time

8 days ago
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Job summary

DigiTran is seeking a hands-on Senior AI/ML Engineer to build RAG-based research tools and expand AI capabilities within a cloud-first platform. The role emphasizes practical development, scalable pipelines, and cross-functional collaboration across ML, software, and cloud teams.

The candidate will design ingestion and retrieval architectures, ensure grounded responses with citations, and deploy services on Azure or AWS while contributing to future AI agent workflows in a remote, full-time

Qualifications

  • Strong Python and software-development experience.

Responsibilities

  • Design and implement RAG and LLM-based applications.
  • Build document-ingestion, chunking, embedding, vector-search, and retrieval pipelines.
  • Develop grounded responses with citations and hallucination controls.
  • Implement semantic search across scientific and technical information.
  • Build APIs and integrate AI capabilities into existing applications.
  • Deploy and support AI services in Azure or AWS.
  • Help develop AI agents and automated workflows in later project phases.
  • Collaborate with ML engineers, application developers, cloud teams, and customer stakeholders.

Skills

Python
RAG & LLM apps
Embeddings
Vector databases
Document retrieval
Semantic search
APIs
Azure/AWS deployment
Grounding / citations
Collaboration
Communication

Tools

Azure OpenAI
Azure AI Search
AWS Bedrock

Job description

DigiTran is seeking a hands-on Senior AI/ML Engineer to build RAG-based research tools and expand AI capabilities within a cloud-first platform. The role emphasizes practical development, scalable pipelines, and cross-functional collaboration across ML, software, and cloud teams.

The candidate will design ingestion and retrieval architectures, ensure grounded responses with citations, and deploy services on Azure or AWS while contributing to future AI agent workflows in a remote, full-time

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