Role Summary
We are hiring a hands-on AI Lead to architect and deliver production-grade AI systems, with a strong focus on Agentic AI, Cloud, and MLOps. This role requires deep technical ownership, the ability to challenge designs, and experience scaling AI solutions in real-world enterprise environments.
We are not looking for pure model builders—we are looking for engineers who can design, build, and ship AI-powered applications end-to-end.
ABSOLUTE MUST-HAVE SKILLS (Non-Negotiable)
Hands-on Agentic AI
Design and build LLM-based agents, multi-agent systems, and orchestration frameworks
Strong experience with RAG, tool usage, memory, and reasoning workflows
Cloud (Mandatory)
Proven experience with AWS / Azure / GCP
Deploying and scaling AI systems in production cloud environments
MLOps / LLMOps
End-to-end lifecycle: development → staging → production
Model/prompt versioning, monitoring, drift detection, retraining
CI/CD & Deployments
Strong experience with CI/CD pipelines for AI/ML systems
Production deployments using Docker, Kubernetes, APIs, microservices
Modern Application Engineering
Strong experience in microservices and event-driven architectures
Building scalable, distributed, API-driven systems
Core Responsibilities
Architect and deliver end-to-end AI & Agentic AI solutions
Build and scale AI-powered applications (not just models)
Design RAG pipelines, agent frameworks, and LLM integrations
Define and enforce MLOps / LLMOps best practices
Own deployment, scalability, reliability, and performance
Build reusable AI frameworks, accelerators, and components
Act as a Devil’s Advocate—challenge assumptions, identify risks, and improve designs
Collaborate with engineering, product, and business teams
Mentor engineers and drive technical excellence
Required Experience
8–12+ years of experience across application engineering and AI/ML systems
Proven experience building AI-powered applications (not just models)
Strong expertise in taking systems from development → staging → production
Hands-on experience with Python and AI/ML frameworks (PyTorch, TensorFlow, etc.)
Preferred Skills
Experience with multi-agent systems and orchestration frameworks
Strong background in distributed systems and system design
Experience with AI security, governance, and Responsible AI
Exposure to vector databases and large-scale data systems
Experience in client-facing or consulting environments
What We’re Looking For
Builder mindset (not just architect or researcher)
Strong ownership and execution focus
Ability to design, challenge, and deliver real systems
Comfortable working in fast-moving, ambiguous environments
Passion for shipping high-quality, production-ready AI systems
