AI Engineering Lead - 300426-65

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