Junior Generative AI Developer
Hybrid
ABOUT THE ROLE
Our client is seeking a Fresher / Junior Generative AI Developer who is passionate about AI and Large Language Models (LLMs). In this entry-level role, you will work closely with senior engineers to build, test, and deploy LLM-based applications on AWS, while learning best practices around scalability, cost efficiency, and production readiness. This is an excellent opportunity for recent graduates or early-career professionals eager to grow in the Generative AI and cloud ecosystem. You will gain hands-on experience with state-of-the-art AI technologies, contribute to innovative projects, and develop your skills in a collaborative, cross-functional environment.
WHAT YOU'LL DO
Assist in developing and maintaining LLM-powered applications using APIs and GenAI frameworks
Support prompt engineering, experimentation, and evaluation of LLM outputs
Help build and test Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector search
Work with AWS services (S3, Lambda, EC2, SageMaker, Bedrock) under guidance from senior developers
Participate in model training, fine-tuning, and inference workflows
Monitor application performance, basic cost metrics, and logs
Write clean, maintainable Python code and unit tests
Collaborate with cross-functional teams including ML engineers and backend developers
Learn and follow security, scalability, and cost-optimization best practices
Document solutions and contribute to team knowledge sharing
WHAT YOU BRING
Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field (or equivalent experience)
Basic understanding of Generative AI concepts and Large Language Models (LLMs)
Proficiency in Python
Familiarity with AWS fundamentals (S3, EC2, Lambda, SageMaker, or Bedrock)
Understanding of prompt engineering and API-based LLM usage
Basic knowledge of machine learning concepts (training, evaluation, inference)
Exposure to Retrieval-Augmented Generation (RAG) concepts, embeddings, or vector databases (projects or coursework acceptable)
Familiarity with monitoring/logging tools (e.g., CloudWatch, Datadog) at a basic level
Familiarity with Git/version control
Willingness to learn, strong problem-solving skills, and good communication
WHAT'S IN IT FOR YOU
Opportunity to work with cutting-edge Generative AI and cloud technologies
Mentorship from experienced engineers and exposure to best practices in AI development
Collaborative and supportive team environment
Professional growth and learning opportunities in a rapidly evolving field
Flexible hybrid work arrangement
