AI Engineer/Lead I – ML Engineering

Tasks

• Execute data wrangling and preprocessing to support business objectives.
• Conduct ML experiments, evaluate feasibility, and build baseline models.
• Fine‐tune models to meet performance targets and business requirements.
• Test models internally against defined acceptance criteria.
• Analyze results, identify optimization opportunities, and document findings.
• Collaborate with data scientists to deploy models in production.
• Partner with product teams to plan releases and coordinate new features.
• Establish OKRs, define success metrics, and provide constructive feedback.
• Identify valid validation metrics and communicate model impact to stakeholders.
• Monitor AI/ML trends, prototype emerging tech, and assess applicability to existing solutions.

Requirements

• 5–7 years of experience as a Full Stack AI Engineer.
• Strong hands‐on skills with Large Language Models (LLMs), Generative AI, and Retrieval‐Augmented Generation (RAG).
• Proficiency in Python and Apache Spark.
• Knowledge of orchestration frameworks such as LangGraph and AgentCore.
• Successful implementation of at least two AI agents in production environments.
• 8+ years of overall AI experience and 3+ years specifically in RAG.
• Ability to collaborate across business, technology, data science, and product teams to deliver scalable AI solutions.
• Prior experience in the US banking or financial services domain is preferred.
• MUST BE BASED IN THE UNITED STATES AND FULLY AUTHORIZED TO WORK IN THE US.

Schedule

• Hybrid – Onsite 3 days per week

How to apply

• Submit your resume via email.

Location

• New York, NY