We are hiring a Jr. GenAI Developer (MLE Associate) with hands-on experience in building GenAI applications and agentic workflows. The candidate should have strong conceptual clarity and practical exposure to RAG, prompt engineering, and optimization techniques.
Key Responsibilities
Develop and maintain GenAI applications and agentic workflows
Build and integrate FastAPI-based services
Work with LLM APIs (OpenAI, Azure OpenAI, Anthropic)
Implement RAG pipelines with effective retrieval strategies
Optimize performance using caching, chunking, and metadata filtering
Collaborate in coding, testing, and cloud deployments
Must-Have Skills
Solid understanding of RAG (Retrieval-Augmented Generation)
with real-time implementation
Prompt Engineering, including:
Prompt injection risks
Mitigation techniques
Optimization techniques:
Caching
Chunking for large/multimodal data
Metadata filtering
Knowledge of memory management in AI/ML workflows
Hands-on experience with SQL (must explain SQL engine used)
Hands-on experience with Amazon Textract (must explain API type used)