Generative AI Engineer

Company Overview:

Radiansys is an Enterprise AI Systems Engineering company helping organizations scale AI from pilots to production through GenAI, RAG, multimodal AI, cloud-native, Full-Stack, DevOps, and SaaS engineering services. We deliver governed, cost-optimized, enterprise-grade platforms for SaaS, BFSI, healthcare, and AI-first startups. Backed by an 100+ strong engineering team, we are now looking for a proven deal closer to drive large engagements.

Title: Generative AI

Location: Gurugram

Experience: 3+ Years

Notice Period: Immediate Joiner Preferred

Job description

We are currently seeking a talented Backend Engineer with a strong background in Node.js/Python and a keen interest and experience in Generative AI to join our dynamic team.

Roles and Responsibilities

• Design, develop, and maintain robust and scalable backend services using Node.js.
• Collaborate with cross-functional teams to integrate AI-driven features into our products.
• Stay abreast of developments in Generative AI, including models like LAMA, RAG, and ChatGPT, and explore their applications in our projects.
• Develop and implement algorithms based on Generative AI models to enhance the capabilities of our products.
• Collaborate with data scientists and machine learning engineers to integrate AI models into the backend infrastructure.
• Conduct research and experiments to explore new ways of leveraging Generative AI for content generation, data augmentation, and other innovative applications.
• Monitor the performance of AI-driven features and continuously optimize them for efficiency and effectiveness.
• Ensure code quality, security, and scalability through best practices and code reviews.
• Participate in the full software development lifecycle, from concept to deployment and maintenance.

Desired Candidate Profile

• 3-4 years of experience in backend development with a strong focus on Node.js.
• Proven expertise in building and maintaining high-performance, scalable backend systems.
• Familiarity with Generative AI technologies, including models like LAMA, RAG, OpenAI, and ChatGPT.
• Deep understanding of Generative AI concepts and architectures, including transformers, attention mechanisms, and fine-tuning techniques.
• Strong understanding of RESTful APIs, microservices architecture, and asynchronous programming.
• Proficiency in database technologies (e.g., MongoDB, PostgreSQL) and cloud platforms (e.g., AWS, Azure).
• Knowledge of software engineering best practices, including coding standards, code reviews, source control management, and testing.
• Excellent problem-solving skills and ability to think creatively.
• Strong communication and collaboration skills.