AI Engineer M/F

Tasks

• Build RAG pipelines for data ingestion chunking embeddings and vector search
• Deploy monitor and maintain AI solutions in production
• Design end to end AI applications using LLMs
• Develop autonomous and orchestrated AI agents for workflow execution
• Fine tune models using prompt engineering and context optimization
• Implement AI governance security and responsible AI guardrails
• Implement evaluation and benchmarking for accuracy latency hallucination and cost
• Integrate Azure AI services APIs and enterprise systems
• Optimize performance for latency scalability and cost control
• Set up CI CD observability and performance tracking

Perks/Benefits

• N/A

Skills/Tech-stack

AI Foundry | AI Search | API Integration | Azure AI | Azure AI Foundry | Azure AI Search | Azure ML | Azure OpenAI | CI/CD | Cost Optimization | Docker | Embeddings | Fine Tuning | Language Models | Large Language Models | Latency optimization | Logging | MLOps | Model Context Protocol | Model Fine-tuning | Monitoring | Observability | Performance optimization | Prompt engineering | Python | Retrieval-Augmented Generation | Scalability | Vector Search