Gen AI Engineer, Cloud & Enterprise AI
Overview
Own cloud-native AI development and deployment at enterprise scale. Build and ship AI applications on Azure AI Foundry, AWS Bedrock, or Google Vertex AI. Integrate AI services into production systems. Use RAG architectures to deliver accurate, context-aware responses. You will set the technical direction for AI integration and drive measurable business outcomes.
What You'll Do8
- 1Design and build cloud-native AI applications on Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
- 2Develop scalable RAG solutions that ingest, index, and retrieve enterprise knowledge.
- 3Integrate AI services with existing enterprise systems and APIs.
- 4Deploy AI models to production with focus on reliability and performance.
- 5Optimize AI solutions for cost, latency, and accuracy.
- 6Collaborate with data engineers to build data pipelines for AI training and inference.
- 7Implement monitoring and logging for AI services in production.
- 8Drive AI adoption by demonstrating value through proof-of-concepts and prototypes.
Requirements9
- 15+ years in software engineering with focus on AI or cloud development.
- 2Hands-on experience with Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
- 3Proven track record building RAG solutions in production.
- 4Strong proficiency in Python and Node.js for AI services.
- 5Experience with Docker and Kubernetes for deploying AI workloads.
- 6Knowledge of LangChain or similar orchestration frameworks.
- 7Familiarity with OpenAI and Claude APIs.
- 8Experience with vector databases like Pinecone or Weaviate.
- 9Bachelor's degree in Computer Science or related field.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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