Our client, a well-funded AI startup, is hiring a Full-Stack Engineer with strong Machine Learning expertise to join their team in New York. The successful candidate will help define the product, architecture and culture from the ground up, from owning core systems, driving key technical decisions without bureaucracy and deploying your work into enterprise AI environments within weeks.
Responsibilities
Take ownership of projects end-to-end, from backend APIs to frontend dashboards to LLM integrations.
Design, build and deploy full-stack features that power their AI agent platform.
Create and maintain evaluation pipelines for LLMs, including RAG and agentic workflows.
Build monitoring and analytics tools to measure reliability, accuracy and trustworthiness.
Partner with researchers to turn cutting-edge evaluation and correction techniques into production-ready features.
Deploy secure, scalable services on AWS/GCP with Docker and Kubernetes.
Skillset
At least 5 years of experience building and scaling production-ready backend and frontend systems.
Strong skills in Python and TypeScript/React, plus proficiency in at least one strongly typed backend language (Go, Java, or C++).
Hands-on experience with AWS or GCP, Docker/Kubernetes, and modern CI/CD pipelines.
Familiarity with LLM tooling (e.g. LangChain, Pinecone, vector databases) is a strong plus.
Comfortable working across the stack, from system architecture to debugging to UI polish.
Experience with RAG or agentic evaluations or deploying AI agents in production is a plus.
Prior experience working in a fast-paced startup is a bonus.
Benefits
Salary: $150K – $170K
Equity.
Health, dental and vision insurance.
401(k).
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