Senior AI Engineer, AI Services
Tasks
- Apply data security access control auditing model governance
- Build and deploy multi-agent systems
- Build automated testing for agent behaviors
- Build real time and batch workflow pipelines
- Create agent memory and state stores
- Debug multi agent flows during incidents
- Implement monitoring, metrics, and guardrails
- Implement retrieval-augmented generation
- Integrate agents with enterprise systems
- Integrate large language models
- Mentor junior engineers on agent design patterns
- Translate business needs into technical agent designs
Perks/Benefits
- 401k
- Medical, dental, and vision insurance
- Paid Company Holidays
- Paid caregiver leave
- Paid parental leave
- Paid time off
Skills/Tech-stack
AWS Batch | Airflow | Asyncio | Autogen | CI/CD | Celery | Containerization | CrewAI | ETL | Elasticsearch | Embeddings | EventBridge | Function Calling | Kafka | LLM | Langchain | Langgraph | Llamaindex | MLOps | N8n | Observability | Orchestration | PGVector | Pinecone | Python | RAG | S3 | Snowflake | Structured Output | Tool-Calling | Vector Databases
Education
N/A
Roles
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