AI Engineer Sr
Tasks
- Add guardrails permissions audit trails and fallback mechanisms
- Build LLM embedding vector search and RAG solutions
- Collaborate with security and governance to ensure responsible AI
- Create reusable AI enablement assets and reference implementations
- Deploy and operate AI solutions in cloud environments
- Design agentic workflows with tool use and human in the loop
- Design develop test deploy AI powered applications
- Evaluate commercial open source and hybrid AI models
- Implement observability for model outputs and retrieval quality
- Implement orchestration patterns for multi step workflows
- Integrate AI services via APIs and enterprise systems
- Mitigate hallucinations bias misuse and data leakage
- Monitor AI performance reliability usage costs and quality
- Move AI initiatives from proof of concept to production
- Provide technical guidance and lead design discussions
Perks/Benefits
- 401k match
- Dental insurance
- Global Employee Stock Purchase Plan
- Life insurance
- Medical insurance
- Paid US Holidays
- Paid parental leave
- Paid sick time
- Unlimited Time Away From Work
- Vision insurance
Skills/Tech-stack
AI Search | AI orchestration | Agentic Workflows | Autogen | Automated testing | Azure AI | Azure AI Search | Azure OpenAI | C# | CI/CD | CrewAI | Data Privacy | Elasticsearch | Embeddings | Generative AI | Go | Governance | Java | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Monitoring | Observability | OpenAI API | OpenSearch | Pinecone | Prompt engineering | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | Risk Management | Security | Semantic Kernel | System design | TypeScript | Vector Databases | Vector Search
Education
N/A
Roles
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