Job Title: AI/ML Engineer Company Name: Greenlight Financial Technology Job Url: https://jobright.ai/jobs/info/69cc4c44cfdc6132f940b7b0 Job Description: Greenlight ยท 12 hours ago AI/ML Engineer United States Full-time Remote Senior Level $160K/yr - $190K/yr 74% GOOD MATCH 64% Exp. Level 69% Skill 75% Industry Exp. Maximize your interview chances Greenlight Financial Technology is the leading family fintech company on a mission to help parents raise financially smart kids. They are seeking an AI/ML Engineer to design, build, and ship production Generative AI applications and ML systems, leading technical design and cross-functional collaboration to enhance AI capabilities across the organization. Banking Payments Finance FinTech Apps Debit Cards Financial Services Mobile Apps Growth Opportunities H1B Sponsor Likely Insider Connection @Greenlight 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. 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Beyond Your Network B Ben Swartwout Chief People Officer From Your Previous Company From Your School Find Any Email Responsibilities Design, build, and deploy production AI agents and multi-agent orchestration systems with prompt engineering, LLM chaining, and tool-calling patterns for complex, multi-step workflows Architect RAG pipelines with vector search, hybrid retrieval, and knowledge base management for AI-driven question-answering and decision-support Integrate third-party AI platforms and LLM providers, designing authentication flows, tool schemas, and agent-to-backend communication Design AI agent security architectures including token exchange, delegated access, and user verification flows for systems acting on behalf of users Build production microservices and APIs (FastAPI, Flask, Node.js) serving as orchestration layers and tool endpoints for AI agent systems Architect authentication and authorization for AI services: identity provider integration, token validation, and service-to-service auth Deploy, monitor, and maintain ML models and AI agent endpoints on cloud platforms (Databricks, AWS SageMaker) including scaling and health management Build data ETL pipelines for feature engineering, transaction processing, and knowledge base ingestion Develop evaluation and monitoring frameworks for non-deterministic AI systems: agent correctness testing, retrieval quality, and alerting Author technical design docs, architecture diagrams, and API contracts; mentor junior and mid-level engineers on AI development practices Lead architecture reviews and produce design documents with implementation roadmaps; evaluate emerging AI technologies to inform team strategy Collaborate cross-functionally with product, platform, security, and operations to define requirements, prioritize features, and ship AI integrations end-to-end Qualification Represents the skills you have Find out how your skills align with this job's requirements. 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Generative AI applications AI agents Large language models Agentic architectures Multi-agent systems Retrieval-augmented generation (RAG) Vector search Prompt engineering Fine-tuning LangChain LangGraph LlamaIndex Software engineering Microservices APIs Python JavaScript TypeScript Authentication systems OAuth Token-based access control Delegated authorization Cloud ML platforms Databricks AWS SageMaker Google Vertex AI Technical design documentation Architecture design Cross-functional communication Required 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 skills building production microservices and APIs in Python or JavaScript/TypeScript Experience designing auth systems for AI applications: OAuth, token-based access control, and delegated authorization Proficiency with a major cloud ML platform (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 (GitHub Actions, Jenkins, Kubernetes, Terraform) Experience with a JVM language (Java, Kotlin, or Scala) for backend service development Background in data pipeline and streaming tools (Airflow, Spark) Benefits Medical, dental, vision, and HSA match Paid life insurance, AD&D, and disability benefits Traditional 401k with company match Unlimited PTO Paid company holidays and pop-up bonus holidays Professional development stipends Mental health resources 1:1 financial planners Fertility healthcare 100% paid parental and caregiving leave, plus cleaning service and meals during your leave Flexible WFH, both remote and in-office opportunities Fully stocked kitchen, catered lunches, and occasional in-office happy hours Employee resource groups