Job Title: Tech Lead – AI & Full Stack Development

Location: Bangalore, MG road

Experience: 3+ years

Employment Type: Full-Time

Job Summary:

We are looking for an experienced Tech Lead to drive the development of cutting-edge AI-powered applications. You will be responsible for designing, developing, and deploying AI agents, training Large Language Models (LLMs), and leading a team in building scalable full-stack applications. Your expertise in OpenAI, JavaScript (ReactJS, MongoDB), cloud infrastructure (GCP), and relational databases (SQL) will be crucial in shaping our AI-driven solutions.

Key Responsibilities:

• Technical Leadership: Guide and mentor a team of developers, ensuring best practices in coding, architecture, and AI development.
• AI & LLM Development: Train and fine-tune Large Language Models (LLMs) using OpenAI and other frameworks to develop AI-powered applications.
• AI Agent Development: Design and implement AI agents for automation, decision-making, and NLP-based solutions.
• Full-Stack Development: Build and optimize web applications using ReactJS, MongoDB, or SQL-based relational databases.
• Cloud & Infrastructure: Experience with Google Cloud Platform (GCP), AWS, or Azure for cloud-based deployment and infrastructure management.
• Database Management: Design efficient database schemas using MongoDB (NoSQL) or SQL-based relational databases for data integrity and performance.
• Collaboration & Innovation: Work with cross-functional teams to integrate AI capabilities into enterprise solutions.
• Code Reviews & Best Practices: Ensure high-quality code through reviews, documentation, and adherence to software development standards.

Required Skills & Qualifications:

• 3+ years of experience in software development with leadership responsibilities.
• Proficiency in JavaScript (ReactJS, Node.js) for building scalable front-end and back-end applications.
• Hands-on experience with OpenAI APIs and fine-tuning LLMs (GPT, BERT, etc.).
• Strong knowledge of AI agent development, prompt engineering, and NLP solutions.
• Expertise in MongoDB (NoSQL) or SQL-based relational databases.
• Experience with Google Cloud Platform (GCP) services such as Cloud Functions, Firestore, BigQuery, and AI/ML tools or Azure for cloud-based deployment and infrastructure management.
• Strong understanding of API development, microservices architecture, and cloud-native applications.
• Experience in DevOps, CI/CD, and containerization (Docker, Kubernetes) is a plus.
• Excellent problem-solving skills and ability to lead a team in an agile environment.