Description :
- Architect, design, and implement scalable applications across web and mobile platforms, with a focus on AI-powered features and integrations.
- Develop and maintain robust front-end and back-end architectures to support both traditional and AI-driven workflows.
- Design, build, and optimize APIs and integrations, including those that interface with AI/ML models and third-party AI services.
- Ensure cross-platform optimization, performance, and responsiveness of applications.
- Collaborate closely with product managers, designers, data scientists, and stakeholders to translate business needs into AI-enabled technical solutions.
- Conduct code reviews, enforce coding standards, and uphold high-quality engineering practices.
- Drive adoption of best practices in development, security, testing, and deployment, including scalable AI/ML deployment pipelines.
- Mentor, coach, and grow team members, fostering expertise in full-stack development and AI-first product engineering.
- Strong problem-solving, communication, and leadership skills.
- A builders mindset - thrives on solving problems end-to-end and taking ownership.
- A hands-on leader - willing to code while guiding and mentoring the team.
- Adaptability and bias for action - comfortable with ambiguity, proactive, and outcome-driven.
- Curiosity for AI - eager to learn and experiment with new AI/ML tools and integrations.
If you are a hands-on leader who loves building, mentoring, and experimenting with AI, this role is for you
Qualifications & Requirements :
Must-Haves :
- Education: B.Tech / M.Tech / M.Sc in Computer Science, or equivalent practical experience.
- Experience: 4-7 years in software development, including 2+ years in a team lead or technical leadership role.
- Strong foundation in data structures, algorithms, and OOP principles.
- Proficiency in Python with frameworks such as Django or FastAPI.
- Expertise in React.js / Next.js, with solid knowledge of JavaScript, HTML5, and CSS.
- Hands-on experience with both relational (MySQL, PostgreSQL) and NoSQL databases (e.g., Elasticsearch, MongoDB).
- Strong problem-solving, communication, and leadership skills.
Nice-to-Haves :
- Experience with cloud platforms (AWS, Azure, or GCP) and deployment of scalable applications.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Exposure to CI/CD pipelines, DevOps practices, and automated testing.
- Prior experience in a startup or fast-paced environment.
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Posted By
Posted in
Full Stack
Functional Area
Full-Stack Development
Job Code
1558338
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