Team Lead (Python) - AI

We are looking for a highly skilled Python Team Lead to drive research and development initiatives in next-generation software solutions. The role involves leading a small team of engineers, building prototypes, and experimenting with new technologies (AI/ML, Generative AI, cloud-native architectures, and data-driven automation). This is a hands-on leadership role where you will contribute to coding, design, and innovation while mentoring the team and shaping technical direction.

Responsibilities:

• Team Leadership: Lead and mentor a team of Python developers, guiding them in R& D projects and ensuring high-quality deliverables.
• Hands-On Development: Design and implement Python-based solutions, frameworks, and prototypes for advanced use cases (AI/ML integration, automation, productivity tools).
• R& D Prototyping: Build proof-of-concepts and experimental systems leveraging modern Python libraries, AI frameworks, and cloud services.
• Innovation: Explore emerging technologies (Generative AI, LangChain, LLM APIs, and data pipelines) and evaluate their applicability to business and developer workflows.
• Architecture and Design: Define scalable, modular, and maintainable designs for experimental solutions and transition prototypes toward production readiness.
• Collaboration: Work closely with product managers, architects, and researchers to convert innovative ideas into working solutions.
• Agile Delivery: Manage sprint planning and backlog prioritization and ensure the team follows agile best practices.

Requirements:

• 8-14 years of experience.
• Knowledge Sharing: Document learnings, present findings, and promote a culture of innovation across the team.
• Strong Python expertise, with experience across frameworks like FastAPI, Flask, Django, or asyncio.
• Experience in AI/ML, Generative AI, or data engineering (e. g., AutoGen, TensorFlow, PyTorch, HuggingFace, or LangChain) is highly desirable.
• Background in building R& D prototypes, proof-of-concepts, or innovation-focused solutions.
• Strong knowledge of software architecture, design patterns, and scalable system design.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and DevOps practices (CI/CD, Docker, Kubernetes).
• Solid understanding of APIs, microservices, and integration patterns.
• Excellent problem-solving skills with a research mindset and ability to work in ambiguous environments.
• Leadership skills with prior experience mentoring or leading small engineering teams.
• Strong communication skills and ability to work cross-functionally in an agile environment.