We are seeking a Senior Full Stack Engineer for an AI Enabled Enterprise Solutions Platform.
Job Profile :
- Full Stack Development : Design, develop, and maintain robust web applications, ensuring seamless integration between frontend and backend components.
- AI & LLM Integration : Integrate large language models and AI agents into applications to enhance functionality, automation, and user experience.
- API Development : Build and maintain efficient RESTful APIs and / or GraphQL endpoints for AI-powered features and services.
- Database Management : Design and manage both relational and NoSQL databases to support AI-driven data workflows.
- Collaboration : Work closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions.
- Code Review & Testing : Conduct code reviews, write unit and integration tests, and ensure code quality and performance.
- Mentorship : Mentor junior engineers and share knowledge on AI integration, best practices, and modern development tools.
- Continuous Improvement : Stay updated with emerging AI technologies, frameworks, and industry trends, and drive the adoption of best :
- Jr : 2+ Years experience in full stack web development.
- Manager : 5+ years of experience in full stack web development.
- Proficiency in frontend frameworks such as React JS.
- Strong backend development experience with Node.js, Python.
- Hands-on experience integrating large language models (e.g., GPT-3, BERT) or similar AI technologies.
- Experience with RESTful APIs, GraphQL, and microservices architecture.
- Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
- Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices.
- Experience with version control systems (e.g., Git) and CI / CD pipelines.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage multiple priorities in a fast-paced Qualifications :
- Experience with containerization technologies like Docker and Kubernetes.
- Knowledge of security best practices for web and AI applications.
- Familiarity with automated testing frameworks and tools.
- Understanding of prompt engineering and multi-agent orchestration.
(ref : hirist.tech)