Technical Lead

About the Role

Key Responsibilities

• Technical Leadership & Architecture:
• Serve as the technical authority for the team, guiding architectural decisions and ensuring the design of robust, scalable, and secure systems.
• Lead the full software development lifecycle from ideation and requirements gathering to deployment and maintenance.
• Conduct code reviews, enforce coding standards, and ensure the delivery of high-quality, clean code.
• Hands-on Development:
• Design, develop, and maintain front-end applications using either React or Vue.js, ensuring a responsive and intuitive user experience.
• Build and maintain scalable back-end services and APIs using Python or Node.js.
• Integrate and orchestrate various Generative AI models (e.g., LLMs, image generation models) to build innovative, AI-powered features.
• Generative AI Application Development:
• Drive the rapid development and prototyping of Gen AI-powered applications.
• Develop and implement prompt engineering strategies to optimize model performance and output.
• Architect and implement solutions using frameworks and tools for Gen AI, such as LangChain, LlamaIndex, or similar.
• Utilize vector databases (e.g., Pinecone, ChromaDB) and techniques like Retrieval-Augmented Generation (RAG) to build context-aware applications.
• Stay up-to-date with the latest advancements in Gen AI, machine learning, and AI-powered development tools to continuously enhance our product offerings.
• Team & Project Management:
• Mentor and coach junior and mid-level developers, fostering a culture of technical excellence and continuous learning.
• Collaborate with product managers, designers, and other stakeholders to translate business requirements into technical solutions.
• Manage project timelines, allocate resources, and ensure timely delivery of features.
  

Required Skills & Qualifications

• Full Stack Expertise:
• Proven experience as a Full Stack Developer or Technical Lead.
• Front-End: Strong proficiency in either React and/or Vue.js. Expertise in state management (Redux/Zustand or Vuex/Pinia), component-based architecture, and modern JavaScript (ES6+).
• Back-End: Deep experience with either Python (e.g., Flask, Django) or Node.js (e.g., Express.js, NestJS).
• Databases: Proficiency with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases.
• APIs: Extensive experience in designing and building RESTful APIs or GraphQL services.
• Generative AI Development:
• Practical experience in building applications that integrate with and utilize Generative AI models (e.g., OpenAI's GPT, Google Gemini, Anthropic's Claude).
• Hands-on experience with AI-specific frameworks like LangChain, LlamaIndex, or Hugging Face.
• Familiarity with prompt engineering techniques and the ability to optimize model interactions for specific use cases.
• Experience with vector databases and RAG architecture is a significant plus.
• Leadership & Soft Skills:
• Prior experience in a leadership role, with a track record of mentoring and managing development teams.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work in a fast-paced, agile environment and manage multiple priorities effectively.
  

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP) and DevOps practices (Docker, CI/CD, Kubernetes).
• Knowledge of microservices architecture.
• Contributions to open-source projects, particularly in the Gen AI or full-stack domains.
• A bachelor's or master's degree in Computer Science, Engineering, or a related field.