AI Python Lead

Lead AI Python Developer – 7–10 Years Experience

Job Summary

We are looking for a Lead AI Python Developer with 7–10 years of strong hands-on software development experience to lead the design, development, and deployment of AI/ML solutions using Python. The ideal candidate will be a strong technical leader and individual contributor who can guide the team while independently writing production-quality code, solving complex technical problems, and driving AI initiatives from design through deployment.

Key Responsibilities

• Lead the design, development, testing, debugging, and maintenance of production-grade Python applications.
• Provide technical leadership and mentoring to AI/ML and Python development teams.
• Design and implement scalable AI/ML and Generative AI solutions.
• Develop and integrate LLM-based applications using OpenAI, Azure OpenAI, or other LLM APIs.
• Design and implement RAG pipelines using vector databases and enterprise data sources.
• Develop AI applications using LangChain, LangGraph, or similar AI orchestration frameworks.
• Build scalable backend services and REST APIs using Python, FastAPI, Flask, or Django.
• Define technical architecture and development best practices for AI applications.
• Work with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Design prompt engineering strategies and establish approaches for evaluating LLM outputs.
• Work with SQL/NoSQL databases including PostgreSQL, MySQL, MongoDB, and vector databases.
• Drive the development of AI agents, multi-agent systems, and intelligent automation solutions.
• Conduct code reviews and ensure adherence to coding, security, quality, and performance standards.
• Identify and resolve complex technical and production issues.
• Optimize application performance, scalability, reliability, and maintainability.
• Collaborate with Product, Engineering, QA, DevOps, and business stakeholders to translate requirements into technical solutions.
• Lead deployment and support of AI applications across AWS, Azure, or GCP environments.
• Establish and improve CI/CD, testing, deployment, and MLOps practices.
• Participate in technical discussions, architecture reviews, and solution design sessions.
• Stay current with emerging developments in Generative AI, LLMs, Agentic AI, RAG, and AI engineering.

Required Skills

• 7–10 years of professional software development experience.
• Strong hands-on expertise in Python development and coding .
• Strong understanding of Object-Oriented Programming, Data Structures, Algorithms, and Design Patterns.
• Proven experience leading or mentoring technical development teams.
• Strong hands-on experience developing AI/ML and Generative AI applications.
• Strong knowledge of LLMs, Prompt Engineering, RAG, and AI application development.
• Experience with REST APIs, microservices, and backend development.
• Strong experience with FastAPI, Flask, and/or Django.
• Experience with LangChain, LangGraph, or similar AI frameworks.
• Experience integrating OpenAI, Azure OpenAI, or other LLM APIs.
• Strong knowledge of SQL and NoSQL databases.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
• Experience with Git, CI/CD, Docker, and application deployment.
• Good understanding of AWS, Azure, or GCP.
• Strong debugging, problem-solving, code review, and performance optimization skills.

Preferred Skills

• Experience in Agentic AI and multi-agent systems .
• Experience with MLOps and model deployment.
• Knowledge of Kubernetes and container orchestration.
• Experience designing enterprise-scale AI solutions.
• Experience with AI evaluation frameworks and LLM observability.
• Knowledge of cloud-native AI/ML services.
• Experience working in Agile/Scrum development environments.
• Experience in healthcare or other regulated domains is an advantage.

Leadership Expectations

• Act as a technical lead and subject matter expert for Python and AI/ML development.
• Mentor and guide developers on coding standards, architecture, and AI engineering practices.
• Conduct technical reviews and provide constructive feedback to team members.
• Take ownership of complex technical problems and provide effective solutions.
• Drive technical decisions while balancing scalability, performance, security, and maintainability.
• Work closely with architects, product managers, and engineering leadership to define technical direction….