09 Aug
|
freecharge
|
Gurugram
09 Aug
freecharge
Gurugram
Role description
About the Role As a Lead Gen-AI & AI/ML Engineer, you will lead the design and engineering of advanced agentic AI systems, drive architecture decisions, and guide a team toward delivering high-impact AI solutions. You will be responsible for scaling AI/ML capabilities across the organization, owning production-grade deployments, and ensuring that our agentic platforms are robust, secure, and aligned with business goals.
This is a leadership role requiring deep technical expertise as well as team management experience.
Key Responsibilities
Strategic Ownership & Architecture ● Own the architecture of enterprise-grade agentic AI systems and multi-agent workflows.
● Define engineering best practices and guide technical decisions across Gen-AI, ML, and automation initiatives.
● Evaluate emerging AI research and technologies for integration into platforms and products.
● Lead cross-functional discussions with engineering, product, business, and data teams.
Agentic Systems & MCP Infrastructure
● Architect goal-driven agent frameworks capable of reasoning, planning, and taking autonomous actions.
● Build and evolve Model Context Protocol (MCP) infrastructure for secure,
context-rich interactions with tools, APIs, databases, and cloud systems.
● Oversee design of long-running, stateful agent pipelines with strong error recovery,
coordination strategies, and agile task management.
Advanced AI/ML Engineering ● Lead the development of ML/DL models, including generative models, multimodal pipelines, and retrieval-augmented architectures.
● Ensure scalable, observable, and reliable ML operations (MLOps/LLMOps) across the lifecycle.
● Guide teams in model evaluation, benchmarking, optimization, and production deployment.
Human-in-the-Loop & Continuous Learning Systems
● Design and supervise RLHF processes, feedback loops, and reward modeling frameworks.
● Ensure systems evolve through continuous human feedback and real-world interactions.
Team & Project Ownership ● Manage and mentor AI/ML engineers, helping them grow in agentic reasoning, model development, and production engineering.
● Lead project planning, estimations, reviews, and cross-team execution.
● Drive a culture of experimentation, innovation, and high engineering excellence.
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