Remote Staff AI Engineer: Lead Multi-Agent Systems

Eleven Recruiting; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Eleven Recruiting represents a growing SaaS client seeking a Staff AI Engineer to design and own high-stakes backend systems for long-running, agentic workflows. You will lead architecture decisions for multi-agent coordination with human-in-the-loop oversight, and build durable state management across distributed services.

The role requires deep experience with TypeScript, Python, and AWS, plus hands-on work with LangGraph, LangChain, and vector databases.

Qualifications

• 8+ years building and operating backend systems in production environments where uptime and correctness are critical.
• A track record of leading the design of complex, distributed, or high-scale systems from architecture through deployment and ongoing operations.
• Hands-on production experience with agent orchestration frameworks (such as LangGraph) and long-running, stateful, multi-step agentic workflows.
• Demonstrated technical leadership beyond your own commits: setting patterns and standards, driving cross-functional initiatives, mentoring engineers, and influencing decisions.
• Strong experience with relational databases (PostgreSQL or similar): schema design, query optimization, data modeling, and migrations.
• Hands-on work with event-driven architectures: message queues, async processing, and distributed job execution.
• Production experience with AWS (Lambda, SQS, S3, ECS) or an equivalent cloud platform.
• Comfort reading and writing both TypeScript and Python, or clear evidence of picking up a second language quickly.
• Experience across the full software delivery lifecycle: design, implementation, testing, deployment, monitoring, and incident response.
• Sound judgment on build-versus-buy decisions, with the ability to make and defend architectural trade-offs under real time and cost constraints.
• Familiarity with modern agent/LLM tooling such as LangChain, vector databases, and cloud-based model platforms (e.g., AWS Bedrock).

Responsibilities

• Design and build the most technically demanding parts of the system yourself, working in an AI native, agentic coding workflow as your daily practice, not just directing others.
• Set the architecture for multi-agent coordination across complex, long-running workflows with human-in-the-loop oversight, including agent state machines, tool routing, context windowing, and retry logic for processes that can run for minutes or hours.
• Own the durable state and run-record layer for long-running agentic workflows: state hydration, failure handling, checkpoint/resume, and recovery across distributed services.
• Build production-grade pipelines that extract, classify, and validate structured documents across a wide range of formats and quality levels, and define the validation layer that turns raw extraction into output the business can trust.
• Build the measurement backbone for the platform: task completion rates, accuracy attribution, cost tracking, and regression detection, so that "is this good enough to ship" is backed by data, not opinion.
• Design the supervision layers, validation rules, human review gates, and audit trail needed to make non-deterministic AI output trustworthy for professionals who can't tolerate errors.
• Set the framework the team uses to reason about cost, accuracy, and latency trade-offs across use cases and peak-volume periods.
• Mentor engineers, raise the bar in design and code review, and help spread an AI native, agentic engineering culture across the broader team, reducing key-person risk by leaving systems more legible than you found them.

Skills

Backend systems

Distributed systems

Agent orchestration

Technical leadership

PostgreSQL

AWS

TypeScript & Python

Tools

LangGraph

LangChain

vector databases

cloud platforms

Job description

Eleven Recruiting represents a growing SaaS client seeking a Staff AI Engineer to design and own high-stakes backend systems for long-running, agentic workflows. You will lead architecture decisions for multi-agent coordination with human-in-the-loop oversight, and build durable state management across distributed services.

The role requires deep experience with TypeScript, Python, and AWS, plus hands-on work with LangGraph, LangChain, and vector databases.