About the role

  • Senior AI Platform Engineer developing scalable AI frameworks for financial services firm. Focusing on machine learning integration and big data platform enhancements.

Responsibilities

  • 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.

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!

Job title

Senior AI Platform Engineer

Job type

Experience level

Senior

Salary

$150,000 - $180,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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