Freecharge - Software Development Engineer/Lead - Artificial Intelligence/Machine Learning

Description :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 dynamic 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.What We Want From You :Technical Expertise :- Deep experience in Python, ML/DL frameworks, and complex model development (6 years).- Expertise in distributed, scalable, and production-grade AI/ML systems(6 years).- Strong understanding of multimodal data, embeddings, generative models, and vector databases.- Experience with cloud-native engineering (AWS/GCP), Kubernetes, Docker, CI/CD.- Strong knowledge of LLMOps/MLOps architectures and infrastructure.Agentic Systems Expertise (Strong Plus) :- Proven experience designing multi-agent architectures, state management, and goal-driven workflows.- Hands-on use of LangChain, LangGraph, AutoGen, CrewAI, Google ADK or custom agentic frameworks(2 years).- Experience with MCP or similar secure agent-tool interaction protocols.Leadership Skills :- Prior experience leading a technical team.- Strong communication skills across technical and non-technical stakeholders.- Ability to drive architectural decisions, mentor engineers, and manage project delivery. (ref:hirist.tech)