Senior AI Engineer
Tasks
- Apply responsible AI evaluation and output validation
- Build response accuracy performance and cost balancing flows
- Collaborate with app integration engineers for user facing embedding
- Collaborate with data engineers for AI ready datasets
- Design AI orchestration logic
- Develop domain specific data agents
- Execute parallel coordinated agent runs
- Fine tune agent prompts tools and execution logic
- Ground responses in enterprise data platforms
- Implement agent execution workflows
- Implement guardrails hallucination control and safety mechanisms
- Implement source attribution and traceability
- Integrate AI agents with enterprise data sources
- Route intents to specialist agents
- Synthesize responses with evidence citations
- Translate business questions into agent workflows and orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Services | APIs | Agent-based | Agent-based systems | Azure AI | Azure AI Foundry | Azure AI Services | DAX | Hallucination mitigation | Intent detection | Language Models | Large Language Models | Output Validation | Power BI | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic models
Education
N/A
Roles
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