Description

You will design, build, and deploy scalable AI products and full-stack applications, integrating LLMs, RAG, and multi-agent systems into enterprise workflows.

This role is hybrid.

Responsibilities

• Design modular AI products and RAG solutions using structured and unstructured enterprise data.
• Build end-to-end AI applications, including REST APIs, microservices, and front-end interfaces with React or Angular.
• Develop multi-agent AI systems to automate complex business workflows and decision support processes.
• Deploy and fine-tune models using Azure ML, GCP, and Databricks, ensuring scalability and observability.
• Collaborate with Product Management and DevOps to standardize AI delivery patterns and reusable components.

Required Skills

• 7+ years of software engineering experience with hands-on application development.
• Strong Python development experience.
• Experience designing production AI applications utilizing Large Language Models (LLMs).
• Experience developing Retrieval-Augmented Generation (RAG) solutions.
• Experience building multi-agent AI workflows and orchestration frameworks.
• Proficiency with AI frameworks such as LangChain, Hugging Face Transformers, or PyTorch.
• Experience developing REST APIs and microservices.
• Full-stack development experience utilizing React, Angular, or similar front-end frameworks.
• Experience deploying AI applications to Azure, Google Cloud Platform (GCP), Azure ML, or Databricks.

Preferred Skills

• Experience integrating enterprise data platforms for data ingestion, feature engineering, and continuous model improvement.
• Understanding of software engineering best practices including testing, CI/CD, security, and governance.

Key Skills

Education

Bachelor's degree