Description

You will engineer production-ready machine learning solutions, focusing on generative AI and Large Language Models (LLMs).

This role is on-site.

Responsibilities

• Design, build, and orchestrate ML models for production deployment.
• Implement solutions leveraging generative AI and LLMs, including Langchain and RAG/RAGAS.
• Ensure model governance, risk management, and regulatory adherence.
• Develop scalable applications with detailed architectural planning.

Required Skills

• 5+ years of professional software engineering experience.
• Expertise in ML model design, build, and orchestration.
• Proficiency with Langgraph, Elasticsearch, and ChromaDB.
• Experience implementing production solutions with generative AI and LLMs.
• Familiarity with GPT 5.x.
• Experience with model governance and risk management.
• Excellent written and verbal communication skills.

Preferred Skills

• Experience in financial services.
• Familiarity with Azure AI Search, AI Agent Service, Document Intelligence, Content Safety, Microsoft Agent Framework, Foundry, Redis, or Azure.

Key Skills

Education

Any Gradute