Description

Lead technical architecture and engineering for multi-agent AI systems, LLM orchestration, and automation workflows across client implementations.

Responsibilities

• Design and maintain the agentic engineering stack, including frameworks, CI/CD, testing, and deployment patterns.
• Own technical design for AI orchestration use cases across 4+ client implementations.
• Build and maintain reusable agent components, tool-use libraries, and prompt templates.
• Mentor and technically lead 3 Senior Agentic Engineers through code reviews and architecture discussions.
• Evaluate LLM providers based on model selection, cost optimization, and latency tradeoffs.

Required Skills

• 8+ years of software engineering experience, including 2+ years in AI/ML engineering.
• Deep expertise in Python and production-grade software architecture.
• Hands-on experience building and deploying LLM-powered applications at scale.
• Strong knowledge of agent orchestration patterns (LangChain, LangGraph, AutoGen, or custom frameworks).
• Experience with cloud infrastructure (Azure preferred), container orchestration, and serverless patterns.
• Track record of mentoring engineers and raising team engineering standards.
• Experience with MLOps: model serving, monitoring, versioning, and cost management.
• Strong system design skills with experience in distributed systems and API architecture.

Preferred Skills

• Experience bridging Data Science model outputs with agentic deployment.
• Excellent written communication for technical documentation and cross-timezone collaboration.

Key Skills

Education

Any Graduate