AI/ML Engineer

Sourced from snaprecruit.com

A well-funded fintech is hiring an AI/ML Engineer who combines strong Java backend development with hands-on applied ML. You will own AI solutions end-to-end, building production services, data pipelines, and models in a financial environment where reliability and explainability matter. The role is based in Manhattan with four days in-office and Friday remote.

• Build production backend services powering AI/ML capabilities using Java, Spring Boot, Kafka, Redis, PostgreSQL, and Redshift
• Train, evaluate, and deploy ML models using Python frameworks such as scikit-learn, PyTorch, and TensorFlow
• Develop agentic AI systems including multi-agent workflows, tool-use pipelines, and orchestration frameworks
• Build data pipelines and feature engineering workflows for training and inference
• Own MLOps infrastructure including model versioning, monitoring, A/B testing, and automated retraining

• 2+ years professional software engineering with strong Java and Spring Boot
• Experience with event-driven systems (Kafka), PostgreSQL, Redshift or equivalent warehousing, and Redis
• Solid grasp of distributed systems, REST API design, and microservices
• 2+ years hands-on AI/ML development in Python with real model-building experience
• Working knowledge of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering, hyperparameter tuning
• Experience with scikit-learn, PyTorch, TensorFlow, or XGBoost
• Understanding of LLMs and GenAI including prompt engineering, fine-tuning, and RAG

• Exposure to agentic patterns such as tool use, planning, and multi-step reasoning
• Experience with LangChain, LangGraph, CrewAI, or Spring AI