Lead Developer; Fullstack + AI

Responsibilities

• Lead and guide a team of developers, providing technical direction and support.
• Conduct regular code reviews, ensure best coding practices, and mentor junior/mid-level developers.
• Help the team resolve technical challenges and remove blockers for smooth project delivery.
• Collaborate with Project Managers to define project scope, timelines, and milestones.
• Allocate tasks to team members based on skills and project requirements.
• Ensure on-time delivery of high-quality solutions for fixed-budget and time & material projects.
• Act as the technical point of contact for clients, understanding their requirements and translating them into technical solutions.
• Participate in client meetings, providing updates, recommendations, and technical insights.
• Handle client escalations and ensure satisfaction with project deliverables.
• Design and oversee architecture, APIs, and database schemas for projects.
• Ensure the use of modern full-stack technologies
  - Python (FastAPI/Django), Node.js, React, Postgre
  
  SQL/MySQL, etc.
• Integrate AI/ML components into solutions where applicable.
• Set up and maintain CI/CD pipelines, automated testing, and version control workflows.
• Ensure smooth deployment and monitoring of projects on cloud platforms (AWS/Azure/GCP).
• Promote adherence to Agile methodologies (Scrum/SAFe) in day-to-day project execution.
• Enforce coding standards, documentation, and test coverage.
• Review and optimize application performance, security, and scalability.
• Continuously improve team processes, tools, and practices.
• Explore and implement AI/ML technologies to enhance project deliverables.
• Stay updated with emerging tools, frameworks, and trends in AI and full-stack development.

• Proven experience as a Technical Lead or Lead Developer, managing teams and delivering multiple client projects.
• Strong full-stack development skills
  - Python (FastAPI, Django), Node.js, React (Next.js a plus), Postgre
  
  SQL, MySQL, Mongo
  
  DB.
• Hands‑on experience with AI/ML frameworks and tools (Tensor Flow, PyTorch, OpenAI API, Lang Chain, Hugging Face, or similar).
• Solid understanding of Dev Ops practices, CI/CD pipelines, version control (Git Hub/Git Lab), Docker, and Kubernetes.
• Experience working in Agile environments (Scrum/SAFe) with a track record of successful project delivery.
• Strong communication and client‑handling skills, capable of translating business requirements into technical solutions.
• Demonstrated ability to make architectural and technical decisions under tight deadlines.
• Experience in mentoring and guiding team members to achieve project and personal growth objectives.