Lead AI Engineer

3 days ago

Hyderabad, India AI Planet Full time

About the RoleWe’re looking for a Lead AI Engineer who can drive the end-to-end execution of GenAI and Agentic AI solutions for our customers. You’ll lead multiple client engagements, collaborate across teams, and architect scalable AI systems that create measurable impact.This is not a role for the faint-hearted — we’re seeking someone who believes in the transformative power of AI and is driven to shape the future with it. If you’re deeply self-motivated, technically strong, and want to wear the AI Planet badge with pride as we democratize AI for the world, read on.While this is a customer-facing role, you’ll also play a critical part in building our core backend systems, translating customer insights into product evolution.What You’ll Do- Work closely with customers to design and deliver custom AI use cases and solutions that drive real business value.- Lead the architecture, development, and deployment of backend and AI systems powering the AI Planet platform.- Design and optimize large-scale GenAI and AgenticAI pipelines - including LLM fine-tuning, embeddings, personalization, and conversational agents.- Build and scale backend infrastructure (APIs, microservices, data systems, and real-time services) to support enterprise-grade AI workloads.- Mentor and grow a world-class AI engineering team, review code, enforce best practices, and foster a culture of learning and ownership.- Collaborate with customers, the delivery team, and the sales function to translate business goals into scalable AI architectures.- Continuously research, experiment, and integrate advancements in LLMs, GenAI, agentic workflows, and reinforcement learning.Must Have Qualifications:- 5-7+ years of professional experience in backend engineering and AI/ML systems.- Proven experience building 2–3 production-grade RAG or Agentic AI applications.- Expertise in Python and modern backend frameworks (FastAPI, Django, Flask, etc.).- Strong knowledge of databases (SQL & NoSQL), cloud infrastructure (AWS/GCP/Azure), and MLOps pipelines.- Deep hands-on experience with machine learning/NLP/LLM frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.).- Experience deploying scalable distributed systems and optimizing performance.- Strong problem-solving skills, ownership mindset, and the ability to lead complex initiatives end-to-end.- Bonus: Prior experience in team leadership, AI product development, or startup environments.Why Join Us?- Work with a globally recognized deeptech AI company.- Fast-track your entrepreneurial journey.- Unmatched ownership, exposure, and impact.- Collaborate with the founder and core team.- Shape the future of AI adoption.

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