Agentic Infrastructure & Engineering Jobs

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18 of 472 matching

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TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

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18 of 472 matching

Strategist, Agent Development (Brazilian Portuguese speaking)
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoNew
Strategist, Agent Development (Norwegian speaking)
Sierra
London, England, United Kingdom (On-site)
£150k–£245k/yr
1d agoNew
Software Engineer, RL Environments
Cursor
San Francisco, California, United States (On-site)
1d agoNew
Strategist, Agent Development (Swedish speaking)
Sierra
London, United Kingdom (On-site)
£150k–£245k/yr
1d agoNew
Strategist, Agent Development (Spanish speaking)
Sierra
San Francisco, CA, USA | New York, NY, USA (On-site)
$200k–$290k/yr
1d agoTop pickNew
Strategist, Agent Development - Financial Services
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoTop pickNew
Software Engineer, RL Data
Cursor
San Francisco, California, United States (On-site)
1d agoTop pickNew
Strategist, Agent Development (Flemish speaking)
Sierra
London, United Kingdom (On-site)
£150k–£245k/yr
1d agoNew
Software Engineer, Research Tools
Cursor
San Francisco, California, United States (On-site)
1d agoNew
Software Engineer, Agent - Travel & Hospitality
Sierra
San Francisco, CA, United States | New York, NY, United States | Atlanta, GA, United States (On-site)
$180k–$390k/yr
1d agoTop pickNew
Software Engineer, Agent - Tech, Media & Telecom
Sierra
San Francisco, CA, USA | New York, NY, USA (On-site)
$180k–$390k/yr
1d agoTop pickNew
Strategist, Agent Development - Tech, Media & Telecom
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoNew
Strategist, Agent Development - Healthcare
Sierra
San Francisco, CA, United States | New York, NY, United States (On-site)
$200k–$290k/yr
1d agoNew
Software Engineer, Agent - Retail
Sierra
San Francisco, CA, United States | New York, NY, United States | Atlanta, GA, United States | Toronto, Canada (On-site)
1d agoTop pickNew
Strategist, Agent Development - Public Sector
Sierra
San Francisco, CA | New York, NY (On-site)
$200k–$290k/yr
1d agoNew
Software Engineer, Agent - Financial Services
Sierra
San Francisco, CA | New York, NY | Atlanta, GA, USA (On-site)
$180k–$390k/yr
1d agoTop pickNew
Software Engineer, Agent - Healthcare
Sierra
New York, NY, USA | San Francisco, CA, USA (On-site)
$180k–$390k/yr
1d agoTop pickNew
Software Engineer, Agent - Public Sector
Sierra
San Francisco, CA, USA | New York, NY, USA (On-site)
$180k–$390k/yr
1d agoTop pickNew

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Applied researchTop pickNew

Software Engineer, RL Data

CursorSan Francisco, California, United States (On-site)

Posted 1d ago/Full-time/Expires Nov 10, 2026

Apply on company site Original posting

Why it matters

The role directly shapes frontier coding-agent capability through task design, rewards, training environments, trace analysis, and evaluations. It focuses on converting real-world agent failures into reusable datasets and tools, with ownership over what agents learn and how progress is measured.

About the job

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

Software Engineer, Reinforcement learning

SpaceXAI is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.

About the role

As a Software Engineer on the RL Data team at SpaceXAI, you'll create the tasks, rewards, and environments that train our coding agents. The team owns the data that goes into training: what the model is asked to do, how we score it, and the setups it learns in.

What you’ll do

Designing a task set that teaches a specific agent capability, then iterating on it from traces and evals until the model actually gets better.
Reading a pile of agent traces, finding a failure mode or a surprising behavior, and building a system that surfaces more of the same.
Turning a one-off recipe into something other teams can reuse: better rewards, cleaner environments, tighter data quality.
Partnering with research on whether a dataset is actually teaching the thing we think it is.

You may be a fit if

You write careful, fast code and have strong software engineering fundamentals.
You like setting tasks: breaking a fuzzy capability into something concrete you can measure.
You have an infra, data, or distributed systems background. RL experience is a plus, not a requirement.
You enjoy looking at messy real-world agent behavior and turning it into a dataset or a tool.

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