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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain Large Language Model (LLM) and Generative AI-powered solutions including custom GPTs, domain-specific assistants, and prompt engineering.
Develop full stack AI-enabled applications integrating LLM capabilities into existing enterprise apps, supporting backend services, APIs, and UI components.
Deploy and support AI solutions on Azure/AWS, handle CI/CD pipelines, MLOps workflows, and ensure production environment reliability and security.
Minimum Requirements
3–5 years of overall software engineering experience with strong full stack development skills.
Proficiency in Python programming and hands-on experience with LLMs, Generative AI, prompt engineering, and GPT-based solution development.
Experience with Retrieval-Augmented Generation (RAG) architectures, vector databases, and cloud platforms Azure and/or AWS.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
Experienced software engineer who has transitioned into AI/ML with practical expertise in Generative AI and production-grade LLM integration.
Capable of working collaboratively with onshore leads, offshore teams, and stakeholders to deliver scalable AI-powered applications.
Comfortable with full stack development, cloud deployment (Azure/AWS), and supporting DevOps/MLOps practices in a production environment.