AI/ML Engineer

The role: This is a Java backend engineer who also owns the ML side — you're not handing models off to someone else to productionize, you're building the services, the pipelines, and the models yourself. You'll take AI solutions from concept through production in a real financial environment where reliability and explainability aren't optional. NYC-based (Manhattan), 4 days in-office, Friday remote. What you'll actually build Production backend services powering AI/ML capabilities — Java, Spring Boot, Kafka, Redis, PostgreSQL, RedshiftML models trained, evaluated, and deployed using Python frameworks (scikit-learn, PyTorch, TensorFlow) Agentic AI systems — multi-agent workflows, tool-use pipelines, orchestration frameworks (MCP or similar) Data pipelines and feature engineering workflows supporting training and inferenceMLOps infrastructure — model versioning, monitoring, A/B testing, automated retraining What we need 2+ years professional software engineering with strong Java and Spring Boot Experience with event-driven systems (Kafka), PostgreSQL, Redshift or equivalent data warehousing, RedisSolid grasp of distributed systems, REST API design, microservices 2+ years hands-on AI/ML development in Python — real model-building experience, not just API calls to a hosted model Working knowledge of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering, hyperparameter tuning Experience with scikit-learn, PyTorch, TensorFlow, or XGBoostUnderstanding of LLMs and GenAI — prompt engineering, fine-tuning, RAG

Bonus: exposure to agentic patterns — tool use, planning, multi-step reasoning, or frameworks like LangChain, LangGraph, CrewAI, Spring AIComp$130,000–$160,000 base, plus equity and year-end bonus. Full medical/financial benefits, 90% company-paid healthcare, flexible PTO, daily breakfast/coffee/snacks, onsite gym.