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AI/ML Engineer

1 hour, 35 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark Databricks FastAPI Feature Engineering Flask Generative AI GitHub Actions Java JavaScript Jenkins Kotlin Kubernetes LLM Machine Learning Microservices Node.js OAuth Python SageMaker Scala Terraform TypeScript
Apply Now
Greenlight

Greenlight

Greenlight is a financial technology company offering a debit card and money app for families, empowering parents to raise financially smart kids through smart spending and investing.

Capital Markets
251-1K
Founded 2014
$556M raised
View All Jobs 8

Description

  • Design, build, and deploy production AI agents and multi-agent orchestration systems for complex, multi-step workflows.
  • Architect RAG pipelines with vector search, hybrid retrieval, and knowledge base management.
  • Integrate third-party AI platforms and LLM providers, including authentication flows and agent-to-backend communication.
  • Design AI agent security architectures with token exchange, delegated access, and user verification flows.
  • Build production microservices and APIs to serve as orchestration layers and tool endpoints for AI systems.
  • Architect authentication and authorization for AI services, including identity provider integration and service-to-service authentication.
  • Deploy, monitor, and maintain ML models and AI agent endpoints on cloud ML platforms.
  • Build data ETL pipelines for feature engineering, transaction processing, and knowledge base ingestion.
  • Develop evaluation and monitoring frameworks for non-deterministic AI systems, including testing and alerting.
  • Author technical design documents, architecture diagrams, and API contracts; lead architecture reviews and mentor engineers.

Requirements

  • Extensive experience building and deploying AI agents and generative AI applications in production.
  • Deep knowledge of LLMs, agentic architectures, multi-agent systems, RAG, vector search, tool use/function calling, prompt engineering, and fine-tuning.
  • Hands-on experience with AI/ML frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
  • Strong software engineering experience building production microservices and APIs in Python or JavaScript/TypeScript.
  • Experience designing authentication systems for AI applications, including OAuth, token-based access control, and delegated authorization.
  • Proficiency with a major cloud ML platform such as Databricks, AWS SageMaker, or Google Vertex AI for deployment and serving.
  • Ability to produce clear technical design documentation and architecture specs for complex systems.
  • Strong cross-functional communication and collaboration across product, engineering, security, and operations.
  • Preferred: Experience with CI/CD pipelines and infrastructure tooling such as GitHub Actions, Jenkins, Kubernetes, and Terraform.
  • Preferred: Experience with a JVM language such as Java, Kotlin, or Scala, and with data pipeline and streaming tools such as Airflow and Spark.

Benefits

  • Medical, dental, vision, and HSA match.
  • Paid life insurance, AD&D, and disability benefits.
  • Traditional 401(k) with company match.
  • Unlimited PTO, paid company holidays, and pop-up bonus holidays.
  • Professional development stipends and mental health resources.
  • 100% paid parental and caregiving leave, plus cleaning service and meals during leave.
  • Flexible WFH with both remote and in-office opportunities.
  • Discretionary performance bonus, equity rewards, and competitive market-based compensation.

Interested in this position?

Apply directly on the company website

Apply Now

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