Gen AI Developer

Junior Generative AI Developer

Hybrid

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.

• 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, Sage Maker, 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

• 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, Sage Maker, 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., Cloud Watch, Datadog) at a basic level
• Familiarity with Git/version control
• Willingness to learn, strong problem‑solving skills, and good communication

• 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