Lead AI Developer

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.
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.
  

Roles And Responsibilities

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• 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.