Description

You will design and build AI systems for human-in-the-loop and fully autonomous operations, orchestrating tool-augmented agents at scale.

This role is on-site.

Responsibilities

• Design AI systems to support human-in-the-loop scenarios and fully autonomous operations.
• Orchestrate tool-augmented AI agents at scale using industry-standard tooling.
• Build AI-driven infrastructure to accelerate test creation, maintenance, and root cause analysis.
• Evaluate the performance, safety, and reliability of agentic AI systems in enterprise environments.

Required Skills

• 8+ years of professional experience building and maintaining scalable applications with Python.
• Proven track record of developing, deploying, and maintaining AI/ML systems.
• Ability to write clean, maintainable, and well-documented Python code.
• Experience with Python, AWS, Docker, Kubernetes, and AI/ML.
• Knowledge of Pytest, DevOps practices, and CI/CD pipelines.
• Understanding of the Software Testing Life Cycle (STLC).
• Experience working within Scrum and Agile methodologies.

Preferred Skills

• Experience with Langchain, Langgraph, or RAG-based agentic systems.
• Experience using AI coding assistants like Cursor or GitHub Copilot.
• Experience with LLM tracing and observability using platforms like Datadog.

Key Skills

Education

Any Gradute