Job Summary
We are looking for a skilled
Full Stack Developer with 36 years of experience who can design, develop, and maintain scalable applications while also contributing to AI/ML-driven solutions. The ideal candidate will have strong backend expertise in Spring Boot or Django/FastAPI, front-end development skills in Angular, HTML, CSS, and TypeScript, and proven experience in building RESTful APIs, microservices, and databases. In addition, the candidate should bring practical experience in AI/ML model development, integration, or deployment , enabling us to build smarter, data-driven products. Familiarity with CI/CD, cloud platforms, and containerization will be an added advantage.
Key Responsibilities
Design, develop, and maintain full-stack applications with high performance and scalability.
Build RESTful APIs, microservices, and work with messaging systems (RabbitMQ).
Develop intuitive front-end applications using Angular, HTML5, CSS, and TypeScript.
Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
Implement and integrate
AI/ML models into production systems.
Collaborate with data scientists and product teams to deliver AI-powered features.
Ensure application security, performance tuning, and best coding practices.
Support CI/CD pipelines and deployment on cloud environments.
Stay updated with advancements in full-stack and AI/ML technologies.
Ideal Candidate
36 years of professional experience as a
Full Stack Developer with
Java and/or Python .
Strong backend development skills with
Spring Boot (Java)
or
Django/Flask/FastAPI (Python) .
Front-end development experience with
Angular, HTML5, CSS, TypeScript .
Proven experience in
AI/ML development model building, training, deployment, or integration.
Solid understanding of databases
MySQL, PostgreSQL, MongoDB .
Strong skills in
RESTful APIs, microservices , and messaging systems like
RabbitMQ .
Familiarity with
CI/CD tools
(Azure DevOps, GitLab, Jenkins, Maven).
Exposure to cloud platforms (Azure)
and containerization (Docker, Kubernetes)
is desirable.
Good understanding of design patterns, performance optimization, and security best practices .
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