Agentic Platforms & Agents Engineer

Bedrock Robotics • New York City, NY

35d

About The Position

Join the team bringing advanced autonomy to the built world At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

Requirements

• 4+ years of professional experience in software engineering, with demonstrated ownership of production systems.
• Strong Python skills and comfort with async patterns, API design, and cloud-native development on AWS.
• Hands-on experience building LLM-powered applications including agents, tool use, RAG, prompt engineering, and evaluation. You've shipped something real with LLMs, not just experimented.
• Systems thinking. You can design an agent platform that's modular, observable, and maintainable, not just a collection of scripts.
• Comfort working across the stack. You'll interface with cloud infrastructure, data systems, frontend teams, and end users and you're energized by that breadth.
• Strong written communication. Agents are only as good as their grounding context. You'll help shape how we encode domain knowledge for AI consumption.

Nice To Haves

• Experience with agent frameworks such as AWS Strands, LangGraph, CrewAI, Claude Agent SDK, or similar orchestration tools.
• Familiarity with MCP (Model Context Protocol) or similar tool-use / function-calling patterns for LLMs.
• Experience building developer platforms or internal tooling that other engineers use daily.
• Experience with observability and evaluation frameworks for AI/ML systems (tracing, cost analysis, quality metrics).
• Experience in an early-stage startup environment designing, building, and launching new products or major features from scratch.

Responsibilities

• Build the agentic platform that enables Bedrock engineers to create, deploy, and monitor AI agents on AWS. This includes agent orchestration, tool/MCP server integration, evaluation and observability, and production deployment pipelines.
• Ship the first agents grounded in Bedrock specificities. These include a Q&A agent for understanding system behaviors, a Field Triage agent for mapping real-world issues to spec nodes, and an Annotator agent that improves data labeling quality.
• Build workflow automation agents for internal productivity—Slack thread summarization, Linear ticket management, cross-tool orchestration—that make every team at Bedrock faster.
• Design and implement MCP servers that expose Bedrock's internal systems as tool interfaces for agents.
• Build evaluation and observability infrastructure for agents—tracing, cost tracking, quality metrics, and automated regression testing to ensure agents are reliable and improving.
• Iterate on agent UX patterns beyond simple chat—building interfaces that surface agent outputs in the right context (Slack, dashboards, CLI, pull requests) and enable human-in-the-loop workflows.
• Drive 100,000 lb excavators.

Benefits

• Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed