AI Technical Lead

AI Engineer Tech LeadLocation: Gurugram (Work From Office 6 Days a Week)

Employment Type: Full-Time

Experience: 3 to 5 Years Preferred

About the Role:

We are looking for a highly driven AI Engineer Tech Lead to help build and scale next-generation AI products, platforms, and enterprise solutions. This role is ideal for someone passionate about Artificial Intelligence, Generative AI, Computer Vision, Agentic Systems, and building production-ready applications that create real business impact. You will work directly on AI research, product development, innovation initiatives, client deployments, and advanced AI solutions across multiple industries. This is a hands-on technical leadership role requiring strong ownership, execution capability, and a passion for solving complex problems using AI.

Key Responsibilities:

• Design, develop, and scale backend systems using Python and FastAPI.

• Build enterprise-grade AI products and platforms.

• Develop and deploy Generative AI, LLM, Computer Vision, and Agentic AI solutions.

• Build AI-powered applications, automation systems, copilots, avatars, and intelligent assistants.

• Create RAG pipelines, vector search systems, semantic search engines, and knowledge platforms.

• Integrate OpenAI, Claude, Gemini, Llama, Mistral, and other leading AI models.

• Develop Computer Vision applications including OCR, object detection, image analytics, facial recognition, and video intelligence.

• Design scalable APIs, microservices, and real-time AI systems.

• Build React-based dashboards and frontend integrations.

• Deploy and manage production infrastructure across cloud environments.

• Optimize performance, latency, reliability, scalability, and infrastructure costs.

• Participate in AI research, innovation projects, and product strategy discussions.

• Lead technical implementation from concept to production deployment.

Required Skills:1. AI & Generative AI:

• Strong hands-on experience with LLMs and Generative AI.

• Experience with Prompt Engineering and Agentic AI frameworks.

• Knowledge of RAG architectures and AI orchestration systems.

• Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks.

• Experience with Vector Databases such as Pinecone, FAISS, Qdrant, ChromaDB, Weaviate, or Milvus.