Senior Full Stack Engineer (AI)

Onbench; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Onbench, Inc. is seeking a Senior AI Engineer (Agentic Builder) to lead the development of AI-native wedge products for healthcare revenue cycle workflows.

You will design and deploy autonomous agents that operate on clinical and financial data within a Claude Code orchestration environment. You'll work with a fast-moving, highly technical team, implementing multi-LLM pipelines, RAG architectures, and cost-efficient production patterns while collaborating with product teams in a remote timezone

Qualifications

• 5+ years of software engineering experience, with the last 2+ years focused on AI-native product development.
• Hands-on experience with agentic frameworks and multi-agent orchestration (Claude Code, LangChain, LlamaIndex, or equivalent).
• Experience building autonomous action workflows.
• Full-stack capability: backend services, APIs, and lightweight frontend interfaces.
• Experience with RAG pipelines, vector databases, and structured retrieval.
• Familiarity with multi-LLM environments (Claude, OpenAI, etc.).
• Understanding of the shift from traditional RPA toward agentic automation.

Responsibilities

• Build and deploy production-ready AI-native wedge products within an existing Claude Code orchestration environment.
• Take rapid product prototypes from the product team and push them through to production.
• Design and implement autonomous agent workflows that execute remediation actions on healthcare revenue cycle data.
• Contribute to RAG pipeline design, vector database management, and intelligent retrieval architectures.
• Participate in daily standups and async collaboration with a highly technical team.
• Apply token optimization and cost-efficiency strategies in production AI systems.
• Work across a multi-LLM stack and adapt tooling as the environment evolves.

Skills

AI-native product development

Agentic frameworks

Autonomous agent workflows

Full-stack development

CI/CD pipelines

Multi-LLM environments

English proficiency

Tools

Claude Code

LangChain

LlamaIndex

Lovable

Codex

Vector databases

RAG pipelines

GitHub workflows

Job description

Our client is a healthcare revenue cycle analytics company that powers financial intelligence for over 45 major health systems across the US. Backed by a leading private equity firm, they are running a fast-moving, PE board-visible initiative to build a new generation of AI-native products on top of an advanced Claude Code-based orchestration environment.

We are looking for a Senior AI Engineer (Agentic Builder) to join their team. You will be a primary build force for a series of AI-native wedge products targeting healthcare revenue cycle workflows, building autonomous agents that execute real actions on clinical and financial data. Check it out!

Requirements

• 5+ years of software engineering experience, with the last 2+ years focused on AI-native product development.
• Hands-on experience with agentic frameworks and multi-agent orchestration (Claude Code, LangChain, LlamaIndex, or equivalent).
• Experience building autonomous action workflows.
• Full-stack capability: backend services, APIs, and lightweight frontend interfaces. Ability to take prototypes built in tools like Lovable or Codex into production.
• Experience with RAG pipelines, vector databases, and structured retrieval
• Token optimization and cost management in production AI systems.
• Familiarity with multi-LLM environments (Claude, OpenAI, etc.).
• Understanding of the shift from traditional RPA (Playwright, UiPath) toward agentic automation.
• Comfortable in CI/CD-style AI development pipelines with automated review loops, PR workflows, and GitHub-centric processes.
• Advanced English
• Healthcare industry background is a plus

Responsibilities

• Build and deploy production-ready AI-native wedge products within an existing Claude Code orchestration environment
• Take rapid product prototypes from the product team (built in Lovable, Claude, or Codex) and push them through to production
• Design and implement autonomous agent workflows that execute remediation actions on healthcare revenue cycle data
• Contribute to RAG pipeline design, vector database management, and intelligent retrieval architectures
• Participate in daily standups and async collaboration with a highly technical, fast-moving team
• Apply token optimization and cost-efficiency strategies in production AI systems
• Work across a multi-LLM stack and adapt tooling as the environment evolves

Opportunity

• Full-time contract
• Remote from LATAM
• Direct collaboration with a world-class team building the future of healthcare AI
• PST time zone overlap required