Position: Full Time Educational qualification: BTech/Masters/PhD
We are seeking a seasoned Full Stack Developer with 10–15 years of professional experience, including 4–6 years in building AI-powered applications and full stack architect experience. The ideal candidate should have full stack development, AI/ML technologies, and delivering scalable, intelligent solutions. You will play a key role in designing and implementing AI-infused web applications and platforms that leverage modern cloud and GenAI capabilities.
Responsibilities:
- Design and develop full stack applications integrating AI/ML and GenAI capabilities.
- Build scalable, secure, and responsive front-end interfaces using modern frameworks (React, Angular, Vue).
- Develop robust back-end services and APIs using Python, Node.js, or Java, with integration to AI/ML models.
- Collaborate with data scientists and AI engineers to embed models into production-grade applications.
- Architect and implement microservices-based solutions on cloud platforms (Azure, AWS, GCP).
- Integrate LLMs and generative AI APIs (OpenAI, Bedrock, Vertex AI, Gemini) into user-facing applications.
- Ensure seamless CI/CD pipelines using DevOps tools like GitHub Actions, Azure DevOps, Jenkins, Terraform.
- Optimize application performance and scalability across cloud-native environments.
- Implement secure authentication and authorization mechanisms, including OAuth2, JWT, and role-based access.
- Stay current with emerging AI trends and full stack technologies to drive innovation.
- Mentor junior developers and contribute to engineering best practices.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10–15 years of experience in full stack development, with 4–6 years in AI/ML integration.
- Strong proficiency in front-end technologies (HTML5, CSS3, JavaScript, React/Angular).
- Expertise in back-end development using Python (Flask/Django), Node.js, or Java.
- Experience deploying AI/ML models via REST APIs, WebSockets, or serverless functions.
- Familiarity with GenAI platforms: OpenAI (Azure), AWS Bedrock, GCP Vertex AI.
- Hands-on experience with MLOps/LLMOps workflows and tools (MLFlow, LangChain, Hugging Face).
- Experience with containerization and orchestration (Docker, Kubernetes).
- Solid understanding of cloud services and architecture (Azure App Services, AWS Lambda, GCP Cloud Run).
- Knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
- Strong problem-solving skills and ability to translate business needs into technical solutions.
- Excellent communication and stakeholder management skills.
Other Responsibilities:
- Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
- Lead end-to-end delivery of AI-enabled web applications.s
- Collaborate with cross-functional teams to define scope, architecture, and timelines.
- Ensure solutions meet performance, security, and usability standards.
- Present technical solutions and prototypes to clients and senior stakeholders.
- Identify opportunities to apply GenAI to enhance user experience and business value.