AI Engineer Sr
Tasks
- Build LLM based solutions with RAG and embeddings
- Create agentic workflows and AI orchestration patterns
- Deploy and operate AI services with observability and CI CD
- Design develop test deploy AI powered applications
- Develop reusable AI components templates and reference implementations
- Evaluate commercial and open source AI models for business fit
- Implement guardrails monitoring and responsible AI controls
- Integrate AI agents with enterprise APIs and internal systems
- Monitor model outputs retrieval quality and token usage
- Provide technical guidance and lead design discussions
- Troubleshoot production issues for AI models integrations and orchestration
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 | API Development | AWS | Agentic Workflows | Audit trails | Autogen | Automated testing | Azure | Azure AI | Azure AI Search | Azure OpenAI | Backend Development | C# | CI/CD | Cloud Computing | CrewAI | Elasticsearch | Embeddings | Generative AI | Go | Hugging Face | Human-in-the-loop | Java | Langchain | Language Models | Large Language Models | Llamaindex | Monitoring | Observability | OpenAI API | OpenSearch | Pinecone | Privacy | Prompt engineering | Python | Retrieval-Augmented Generation | Secure Development | Security | Semantic Kernel | System design | The Loop | TypeScript | Vector Databases | Vector Search
Education
N/A
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