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We are seeking a Lead AI Python Developer to serve as a technical anchor and people leader for a high-performing AI team. This role combines deep technical contribution with hands-on leadership — setting technical direction, establishing engineering standards, mentoring developers, and personally driving the most complex aspects of AI SDLC and building complex Gen AI solutions. The ideal candidate brings a rigorous Computer Science foundation, mastery-level Python expertise, proven LLM expertise, and command of AI-augmented development practices at scale.
Responsibilities
- Define the technical direction, architecture, and engineering standards for AI-enabled SDLC in collaboration with the Solution Architect and CTO
- Lead the design and implementation of AI systems, including RAG pipelines, multi-agent platforms, and full-stack AI applications
- Contribute hands-on to development by building complex components and conducting code reviews
- Evaluate and select technologies, frameworks, models, and cloud services with a focus on reliability, security, and cost efficiency
- Establish and enforce coding, testing, documentation, and AI tool usage standards across the engineering team
- Mentor and support developers through feedback, guidance, and career development
- Drive project planning, technical estimation, and risk management
- Communicate technical solutions and trade-offs clearly to stakeholders
Requirements
- 8+ years of software development experience, including 2+ years in a leadership role
- Bachelor’s degree in Engineering or a related field; a Master’s or PhD is a strong advantage
- Strong foundation in computer science fundamentals such as data structures, algorithms, distributed systems, and system design
- Advanced Python proficiency with deep knowledge of the language ecosystem, libraries, ML/AI tooling, and testing frameworks
- Experience with software architecture and design principles, including microservices, event-driven architecture, CQRS, SOLID, and domain-driven design
- Experience designing APIs (REST, GraphQL, gRPC) and building full-stack applications using Python frameworks such as FastAPI, Django, or Flask
- Experience with relational, non-relational, and vector databases
- Hands-on experience with AI systems, including RAG architectures, LLM frameworks (LangChain, LlamaIndex), and agent-based platforms
- Experience with Python ML/AI libraries and frameworks such as PyTorch, scikit-learn, Hugging Face Transformers, or similar
- Self-starter with ability to drive initiatives independently and elevate team performance
Nice to have
- Experience with LLM fine-tuning and open-source ecosystems (Hugging Face, vLLM, Ollama)
- Familiarity with LLM evaluation and observability tools (RAGAS, LangSmith, Weights & Biases)
- Experience with event-driven systems, Kafka, RabbitMQ, or graph databases
- Exposure to multimodal AI applications (vision, audio, document processing)
- Open-source contributions, SDK/platform development, or familiarity with AI governance frameworks