REQUIREMENTS
5+ years of professional experience in Java and/or Python
Hands-on experience working with LLMs (integration, evaluation, or architecture)
Practical experience with prompt engineering
Understanding of API design and backend service development
Nice to Have
Experience with RAG (Retrieval-Augmented Generation) architectures
Experience with vector databases and embeddings
Cloud AI services experience (Azure OpenAI, AWS Bedrock, etc.)
MLOps or LLMOps exposure
RESPONSIBILITIES
Design and build AI-powered features and services using LLMs
Develop and maintain backend components in Java and/or Python
Implement prompt engineering strategies and evaluate model outputs
Collaborate with product and engineering teams to integrate AI capabilities into existing applications
Stay current with emerging LLM tooling, frameworks, and best practices
Participate in Agile/Scrum delivery practices
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