GenAI Engineer - Azure OpenAI & AWS Bedrock

Job Summary:

We are seeking a GenAI Engineer with hands-on experience in Azure OpenAI and AWS Bedrock to design, develop, and deploy scalable Generative AI solutions. The role focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into enterprise applications, and ensuring performance, security, and cost efficiency in AI-driven systems.

Location:

Malvern, PA - Onsite

Key Responsibilities:

• Design, develop, and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, and embedding generation.
• Configure, manage, and optimize vector databases for semantic and hybrid search performance.
• Securely integrate Large Language Model (LLM) APIs into enterprise applications and workflows.
• Develop and manage prompt templates and context-handling strategies to ensure consistent and accurate LLM responses.
• Implement monitoring and logging for LLM usage, performance, latency, and cost tracking.
• Build reusable AI components, frameworks, and SDKs to enable AI integration across multiple business use cases.

Required Skills & Experience:

• Strong hands-on experience with Azure OpenAI services.
• Experience working with AWS Bedrock and related AWS AI services.
• Proficiency in Python for AI/ML and backend development.
• Experience designing and deploying RAG architectures .
• Knowledge of vector databases and embedding-based search solutions.
• Experience integrating LLM APIs into applications securely.

Competencies:

• Strong analytical and problem-solving skills.
• Ability to design scalable and reusable AI solutions.
• Attention to performance, security, and cost optimization.
• Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Skills:

• Experience with hybrid cloud AI architectures (Azure + AWS).
• Familiarity with MLOps, observability, and cost-governance practices for GenAI solutions.
• Experience building AI SDKs or shared AI platforms.