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Lm Studio

Software Engineer, Agent Harness

New York CityOnsite · United States
FullTime · Engineering
POSTED 7 AUG
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Role
96 days opentrue age
Posted 7 Aug
Payats field
$150k–350kposted
▲ +39% vs market median $180k
$145k$350k
Market p25–p75
$145k–$220k
Lm Studio p25–p75
$238k–$250kn=3
New York · n=849 · 365d to 12 Nov
CompanyLm Studio →
6open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
37,712open · Software engineering
Opened · 7d
+3,87310% of open
All software engineering
75,251open
All tracked boards · live 12 Nov · n=37,712
TypeScript

LM Studio is used by millions of people around the world to run AI on their own computers, and now with Bionic - also in the cloud. Our values prioritize putting the human in the center, and creating tools that we want to use ourselves, and recommend to our friends and family.

As a team, we work with high technical intensity and personal responsibility. We are looking for curious, self-motivated, creative, and technically excellent teammates to join us and build the future of human-AI interactions in software.

The Role

We are looking for an Agent Harness Software Engineer to build the core agent system behind Bionic, LM Studio’s agent for work and code. You will make open models effective at working with codebases, documents, files, software tools, and the user’s computer.

Open models vary widely in how they reason, call tools, use context, and recover from mistakes. You will build the software that handles those differences and gets the best possible agentic performance from models running locally, on linked devices, and in LM Studio's inference cloud.

Qualifications

Significant experience building production software involving language models, developer tools, or automation

Strong understanding of tool calling, structured model output, context construction, and streaming inference

Experience building stateful systems that perform multi-step work and recover cleanly from failures

Excellent TypeScript and general software engineering fundamentals

Deep interest in open models and a practical understanding of their strengths and limitations

Works with high technical intensity and takes personal responsibility for the finished product

Responsibilities

Build and improve the agent harness that powers Bionic

Make local and cloud models reliable at using files, search, Git, the shell, web tools, and document tools

Integrate new open models and optimize how they perform in the Bionic agent harness

Manage conversation history, working context, tool results, interruptions, and recovery

Build repeatable evaluations and diagnostics for understanding where and why an agent fails

Constrain the model in a smart way so it remains useful

Work across Bionic, the LM Studio runtime, and LM Studio cloud to improve the complete system

Benefits

Competitive salary and equity grants

Great medical, vision, dental healthcare plans

Catered team lunch / expensed dinners in the office

Flexible PTO

Flexible WFH

Sun-drenched office in SoHo in NYC

Source · Lm StudioFirst seen 7 NovOriginal ↗