Senior AI Engineer (GenAI)
Tasks
- Build LLM evaluation harnesses
- Build LLM powered product capabilities end to end
- Create feedback loops for continuous improvement
- Deploy and support workloads on AWS or GCP
- Design API and tool interfaces for LLM workflows
- Design and implement Agentic workflows
- Develop prompt engineering and context engineering practices
- Implement observability for quality latency and cost
- Implement safety and reliability patterns
- Own production readiness for AI features
Perks/Benefits
- Days of disconnect
- Employee assistance program
- Fitness reimbursement
- Medical, dental & vision coverage
- Open PTO
- Parental leave
- Partner discounts
- Paternity leave
Skills/Tech-stack
A/B | A/B Testing | API Development | AWS | Agentic Workflows | B testing | CI/CD | Context engineering | Cost Optimization | Data Privacy | Docker | Error Handling | Evaluation | GCP | Guardrails | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | Monitoring | Observability | Prompt engineering | Prompt injection | Python | RAG | REST APIs | Retries | Retrieval-Augmented Generation | Schema Validation | Security | Tool use | Vector Databases | Workflow Orchestration
Education
Roles
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