Description

You will design, build, and operationalize GenAI applications and agentic systems for enterprise-scale environments.

This role is hybrid.

Responsibilities

• Develop GenAI solutions using LLMs, RAG architectures, prompt engineering, and Agentic AI concepts.
• Implement agentic frameworks including LangChain, LangGraph, Microsoft Foundry Agent Service, and AWS Bedrock.
• Manage the end-to-end GenAI operationalization lifecycle, covering solution design, secure deployment, and horizontal scaling.
• Ensure production observability and reliability for GenAI workloads in regulated environments.
• Build microservices-based architectures using Python and Infrastructure as Code (Terraform, ARM/Bicep).

Required Skills

• 5+ years of experience in software engineering with a focus on Python.
• Hands-on experience with LLMs, RAG, and GenAI application development.
• Proficiency in Docker and Kubernetes for containerization and orchestration.
• Experience with cloud platforms Azure and AWS.
• Knowledge of Terraform and Infrastructure as Code practices.
• Understanding of distributed systems and microservices architectures.
• Familiarity with secure coding and data handling practices.

Preferred Skills

• Experience with agentic frameworks like LangGraph or Microsoft Foundry.
• Background in regulated or enterprise-scale environments.

Key Skills

Education

Bachelor's degree