Full Stack Lead Developer (AI Solutions)

Overview :

The ideal candidate will be responsible for developing and maintaining high-quality applications and systems, with a strong focus on AI-driven solutions. They will also be responsible for designing, implementing, and maintaining testable, scalable, and high-performance code across both frontend and backend services. The candidate should have experience in building cloud-based applications, integrating AI / ML models, and working with modern web technologies and distributed systems.

Responsibilities :

Develop and maintain quality software applications and scalable web solutions.

Analyze, design, and implement highly testable code and high-performance applications.

Collaborate with cross-functional teams to define, design, and ship new features.

Ensure responsiveness and cross-platform compatibility of applications.

Debug, troubleshoot, and resolve application bugs and bottlenecks.

Integrate third-party services, APIs, and AI models into applications.

Optimize applications for maximum speed, scalability, and AI inference efficiency.

Implement real-time features using WebSockets and other event-driven architectures.

Work on distributed systems involving message queues such as Kafka or Redis and manage cloud-based infrastructure.

Develop and deploy AI-powered solutions, including NLP models, recommendation engines, and intelligent automation systems.

Skills & Qualifications :

Bachelor’s degree or equivalent experience in Computer Science, AI, or a related field.

4+ years of proven experience as a Full Stack Engineer, working with both frontend and backend technologies.

Proficiency in one or more frontend technologies : React, TypeScript, JavaScript, HTML, CSS.

Proficiency in backend technologies : Java, Python, SQL, Kafka or Redis.

Experience in developing and deploying cloud-based applications.

Strong understanding of WebSockets for real-time communication.

Good knowledge of relational databases like

PostgreSQL .

Familiarity with CI / CD processes and cloud services (AWS, Azure, or Google Cloud).

Experience working with AI / ML frameworks like TensorFlow, PyTorch, OpenAI API, or LangChain.

Knowledge of NLP, data engineering, and AI model integration in web applications.

Experience in system design and software architecture will be an added advantage.

Should have managed / mentored a 2-3 member team

Nice to Have :

Familiarity with building and scaling Applicant Tracking Systems, job portals, or online communities.

Understanding of microservices architecture and distributed systems.

Knowledge of containerization tools like Docker and orchestration with Kubernetes.

Experience with vector databases and embedding models for AI applications.

This role is ideal for engineers passionate about AI-driven innovation and building intelligent, scalable solutions.

We can also consider professionals currently not in jobs with 10+ years of experience in full stack application design & development for short-term (6–12 months) assignments