Lead AI Developer Job in Panchkula

Position title

Lead AI Developer

Panchkula, India - Date Posted

May 1, 2026

Description

Job Description

We are looking for a Lead AI Developer with 5–6 years of experience to drive our AI initiatives and build scalable, production-ready intelligent systems. This role goes beyond development—you will define AI architecture, lead a team of developers, and bring structure to how AI solutions are designed, deployed, and improved over time.

You will work closely with cross-functional teams to turn advanced AI concepts into practical business solutions while mentoring developers and promoting continuous learning across the team.

Skills

Key Skills

Strong proficiency in Python, including frameworks like FastAPI, Pydantic, and AsyncIO.
Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or CrewAI.
Deep understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation techniques.
Experience with vector databases such as Pinecone, Weaviate, or Milvus.
Strong knowledge of cloud platforms including AWS, Azure, or GCP.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Working knowledge of machine learning frameworks such as PyTorch or TensorFlow.
Strong problem-solving, leadership, and communication skills.

Responsibilities

Roles and Responsibilities

Design and deploy scalable AI applications using Python, focusing on LLM orchestration and advanced workflows.
Lead and mentor a team of developers, ensuring high code quality through regular reviews and technical guidance.
Stay updated with the latest advancements in AI and translate them into practical implementations.
Evaluate third-party AI tools and open-source models to identify the most efficient solutions.
Manage the complete AI development lifecycle, including data ingestion, vectorization, deployment, and monitoring.
Collaborate with stakeholders to align AI initiatives with business objectives.
Drive best practices in AI architecture, performance optimization, and scalability.