[Hiring] AI/ML Engineer @Greenlight Financial Technology

Role Description

We are looking for an AI/ML Engineer to join our AI team. The AI/ML Engineer designs, builds, and ships production Generative AI applications, AI agents, and ML systems for customer-facing and internal products. The role pairs deep expertise in large language models and agentic architectures with senior-level software engineering to deliver scalable, secure AI solutions. This engineer leads technical design of complex AI systems, drives cross-functional collaboration with product, platform, and security teams, and shapes the strategic direction of AI/ML capabilities across the organization.

Your day-to-day:

• 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.

Qualifications

• 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:

• 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

Our stance on salaries:

Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.

The estimated base pay range for this position in (NY, CA, WA): $160,000- 190,000

The estimated base pay range for this position in (CO): $160,000- 180,000

Who we are:

It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.

Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.

Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.