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.
- Ensure successful delivery of AI projects while maintaining high engineering standards.
Important Requirement
This is a hands-on technical leadership role. Candidates must have strong practical coding experience and should be capable of independently writing, reviewing, debugging, optimizing, and architecting Python and AI-related solutions.
Candidates with only managerial, coordination, or project-management experience without strong hands-on Python and AI development experience will not be suitable.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field.
Experience
7–10 years of relevant professional experience, with substantial hands-on experience in Python, AI/ML, Generative AI, LLMs, RAG, and backend development, along with proven technical leadership or team-lead experience.