Solugenix

Full Stack AI Developer

Solugenix

Hyderabad•Hybrid•5-8 Yrs•Jul 6

Hybrid

Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises.

Develop and maintain web applications using HTML, JavaScript, CSS, Angular, NestJS, NodeJS, and other technologies.
Deploy and maintain AI applications in production and ensuring its reliability and scalability.
Collaborate with other engineers, researchers, and domain experts to identify and define general intelligence problems and solutions.
Conduct experiments and evaluations to measure and improve the performance, robustness, and scalability of general artificial intelligence systems.
Stay updated on the latest developments and trends in GenAI intelligence research and applications.
Write clean, readable, and testable code that follows best practices and standards.
Debug and troubleshoot issues across different browsers and devices.
Collaborate with other architects, developers, designers, and stakeholders to deliver high-quality products & services.
Communicate and document the results and insights of general artificial intelligence projects to internal and external stakeholders.

At least 5 years of experience as a full stack developer or similar role and 2+ years of experience in AI
Proficient in HTML, CSS, JavaScript, and modern frameworks (e.g. Angular, NestJS, NodeJS)
Proficient in programming languages such as Python and SQL/ NOSQL databases
Known to frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, and NLTK.
Knowledge of web development tools such as Git, Webpack, NPM, or Babel
Strong problem-solving and communication skills
Knowledge of conversational system development
Web Application Development – Develop and maintain web applications using HTML, JavaScript, CSS, Angular and other technologies.
API Development - Develop rest APIs with right set of guardrails using NestJS, NodeJS, Python and other technologies.
Natural language processing: the field of AI that deals with understanding and generating natural language, such as text and speech.
Computer vision: the field of AI that deals with analyzing and interpreting visual information, such as images and videos.
Reinforcement learning: a type of machine learning that involves learning from trial and error by interacting with an environment and receiving rewards or penalties.
Data science: the practice of collecting, cleaning, analyzing, and visualizing data to gain insights

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