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