Sr. Software Engineer - Applied AI (Hybrid)
Tasks
- Apply adaptive AI techniques
- Build SDKs and APIs
- Build and ship LLM-powered systems
- Collaborate with cross-functional teams
- Create frameworks for automation
- Design and maintain evaluation frameworks
- Develop retrieval pipelines
- Engineer AI copilots and interfaces
- Implement safety guardrails
- Leverage orchestration frameworks
Perks/Benefits
- Employee networks
- Equal opportunity employment
- Office culture
- Paid leave
- Professional development
- Wellness programs
Skills/Tech-stack
AI Safety | AI safety techniques | API Development | Automation Pipelines | Embeddings | Evaluation and testing | Go | Grounding methods | LLM orchestration | LLM orchestration frameworks | LLMs | Langchain | Langgraph | MCP | Natural Language | Natural language interfaces | Orchestration frameworks | Python | Re-ranking | Retrieval-Augmented Generation | Safety Techniques
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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