Devops engineer • elk grove ca
Software Engineer (SWE) — LLM Superuser ### Uplift Trial Participant * * * ## About the Role We're recruiting an exceptional engineer to participate in a structured **AI Uplift Trial** — a research...Show more
Mechanical Engineer – Offshore Reliability.Bachelor’s Degree in Mechanical Engineering.Oil & Gas / Refinery (Offshore).The Mechanical Engineer – Offshore Reliability will be responsible for improvi...Show more
Job Description Hybrid role 3X a week in office in Elk Grove, CA; no remote capabilities Position Summary: The Senior Systems Administrator supports the organization's hybrid infrastructure by focu...Show more
About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...Show more
Professional Engineers are responsible for assessment, planning, evaluation, design, permitting and construction support for a wide range of infrastructure projects, including transportation, water...Show more
Develop plans for surface transportation projects, according to established engineering standards and state or federal construction policy.Prepare designs, specifications, or estimates for transpor...Show more
BKF is a multi-service infrastructure consulting firm providing civil engineering and surveying services across California, the Pacific Northwest, and beyond.With offices throughout California and ...Show more
Aerospace Engineer Job Duties: Contributes to the design, manufacturing, and testing of aircraft and aerospace products.Studies proposed projects to assess safety and feasibility.Evaluates designs ...Show more
About Mercor’s talent network** Join our Frontend Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contract opport...Show more
Willdan Engineering is a division of Willdan Group Inc, a full-service, multi-disciplinary California corporation specializing in consulting, engineering and planning services for governmental agen...Show more
Cybersecurity Engineer - Blue Team** **About the Role** Offensive AI benchmarks are everywhere.Blue-team evaluation is almost nonexistent.We're building the infrastructure to change that — credible...Show more
The average salary range is between $ 111,650 and $ 161,750 year , with the average salary hovering around $ 135,000 year .
The average salary range is between $ 109,997 and $ 165,000 year , with the average salary hovering around $ 129,990 year .
Software Engineer (SWE) — LLM Superuser
Uplift Trial Participant * * * ## About the Role We're recruiting an exceptional engineer to participate in a structured AI Uplift Trial — a research initiative measuring the productivity and quality gains that expert LLM usage confers on complex software engineering tasks. This is not a role for someone who occasionally uses AI tools. We need an LLM Superuser : a practitioner with deep, intuitive command of how frontier models think, fail, and excel. * * * ## What We're Looking For Engineering Baseline - 4+ years professional software engineering experience. - Strong proficiency in at least two languages (Python, TypeScript, Go, Rust, etc.). - Comfortable across the stack : APIs, databases, cloud infrastructure, application logic. LLM Expertise — This Is the Role - Expert command of prompt engineering : chain-of-thought, few-shot, ReAct, structured outputs, and beyond. - Experience building agentic systems : tool-calling loops, multi-step reasoning pipelines, orchestration frameworks. - Deep familiarity with context management : RAG, chunking, vector search, avoiding context degradation. - Ability to critically evaluate model outputs — catching hallucinations and subtle failures a casual user would miss. - Strong opinions about where LLMs genuinely help in engineering workflows and where they don't. * * * ## What "LLM Superuser" Means You can look at a hard engineering problem and immediately formulate an LLM strategy. You have a personal library of hard-won prompt patterns. You can explain _why_ an approach works — and adapt it on the fly when it doesn't. You treat the model as a collaborator you understand deeply, not a black box you poke randomly.
