AI Jobs in South River, NJ

Prototypes or demos do not measure success in this role; it’s measured by operational leverage: faster workflows, fewer manual processes, lower costs, and teams that can scale far more efficiently because of the systems you deployed.

• Embed within operational teams across the company, underwriting, claims, premium finance, patient experience, broker operations, sales engineering, and more, and work directly with them to understand how decisions are made, where work slows down, and what can be automated.

Strong full‑stack development skills and cloud experience (AWS/Azure/GCP).Expert in at least one, and proficient across the others:AI Agent development and evaluationBackend developmentFrontend developmentCloud services (AWS/Azure/GCP)CI/CD and Infrastructure as CodeSite Reliability Engineering (SRE)Quality engineering / testing strategySecure SDLC and privacy by designProven track record delivering secure, reliable, cloud‑native systems to production. TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, RustAWS (primary), Azure, GCP; Docker, Terraform, GitHub ActionsDocumentDB, DynamoDB, OpenSearch, Azure AI SearchAzure OpenAI, AWS Anthropic, Google GeminiGitHub, Confluence, SlackWhat you'll doDesign and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.

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It's about building the systems, governance, and cross-functional processes that ensure our content is structured, discoverable, reusable, and optimized for both humans and LLMs - sitting at the intersection of content strategy, SEO/AEO, marketing operations, product marketing, and analytics. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work.

p>Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries.

EisnerAmper is seeking an AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services.

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Own agent identity and session design - author and maintain agent context files (identity files, session startup protocols, memory structures, and skill definitions) that govern how agents behave consistently across sessions, users, and evolving workflows.

Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, project management, or business-related roles. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $303,600 per year.

You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. Implement evaluation frameworks for agent behavior using a combination of vendor , open source or in house built tools - covering task success, tool selection accuracy, trajectory evaluation, hallucination rates, latency, and cost.

All legitimate communication comes from brellium.com, or no-reply@ashbyhq.com, and we will never ask for money or sensitive personal information as part of our hiring process. We’ve built AI-powered technology that helps healthcare providers deliver safer, higher-quality care - starting with the first real-time medical review platform built to fix clinical and compliance risks before they impact patients.

You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference.