Senior AI Platform Engineer
United States
Full Time
1 week ago
$150,000 - $180,000 USD
No H1B
Key skills
AirflowCloudDistributed SystemsDockerGraphQLGRPCKubernetesPythonSparkAILLMOpenAILangChainData EngineeringdbtgRPCIAMCollaboration
About this role
Role Overview
- Design and build a scalable Agentic AI framework on top of our data platform.
- Implement MCP
- and A2A-based architectures for agent collaboration and orchestration.
- Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
- Build APIs, SDKs, and tooling to enable other teams to use the framework.
- Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
- Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
- Mentor other engineers and contribute to AI engineering best practices.
Requirements
- Strong programming skills in Python with 5+ years of experience
- Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes)
- Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A)
- Hands-on experience with API design & integration (REST, GraphQL, gRPC)
- Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker)
- Strong understanding of IAM, security, and multi-tenancy in enterprise systems
- Track record of building production-grade AI/data platforms.
Tech Stack
- Airflow
- Cloud
- Distributed Systems
- Docker
- GraphQL
- GRPC
- Kubernetes
- Python
- Spark
Benefits
- 401 (k) Matching Program
- Professional Development Reimbursement
- Flexible Personal/Vacation Time Off
- Sick Leave
- Paid Holidays
- Medical
- Dental
- Vision
- Employee Assistance Program
- Parental Leave
- Discounts on fitness clubs, travel, and more!