1

Readme Jobs (NOW HIRING)

A short README explaining what each piece does and why you built it is more valuable than volume. If the repo is private, a redacted tree, settings.json, and one or two example Skill files are ...

DevOps Engineer II

Phoenix, AZ · On-site

$52.50 - $71.75/hr

... ReadMe and diagrams. • Perform on-call support functions. • Participate in all Scrum activities such as creating user stories, sprint planning, and sprint retrospectives. • Perform other duties ...

A short README explaining what each piece does and why you built it is more valuable than volume. If the repo is private, a redacted tree, settings.json, and one or two example Skill files are ...

Maintain clear and thorough code comments, Git README files, and configuration guides. Track development items and respond to time sensitive work through JIRA. Generate technical content for design ...

A short README explaining what each piece does and why you built it is more valuable than volume. If the repo is private, a redacted tree, settings.json, and one or two example Skill files are ...

Big Data Engineer

Hopewell, VA · On-site

$104K - $156K/yr

Collaboration & Documentation • Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping. • Produce "readme" docs, data dictionaries ...

Ability to communicate clearly in writing, including documentation, README files, write-ups, or technical notes * Ability to obtain a Secret clearance * Bachelor's degree in Computer Science ...

Experience with API documentation tools (Swagger/OpenAPI, ReadMe, or similar) * Prior experience supporting enterprise or B2B partner integrations * Passion for futures, derivatives, and trading ...

... README files, and configuration guides. • Track development items and respond to time sensitive work through JIRA. • Generate technical content for design reviews, emulator demonstrations, and ...

AI Developer Advocate

San Francisco, CA · On-site

$140K - $200K/yr

Enrich ReadMe's, jumpstart discussions, raise issues, and foster growth to help our repos trend within the platform. You are someone who * Lives and works in the San Francisco Bay Area! * Worked as a ...

Experience with technical documentation tools (Mintlify, ReadMe, GitBook, etc.) * Open source contributions, developer community involvement, or a portfolio of small projects that show how you think ...

Hands-on experience with AI writing tools and modern documentation platforms (e.g., Notion, Readme, Confluence, Guru, or similar) * Ability to make complex technical concepts accessible to non ...

next page

Showing results 1-20

Readme information

See salary details

$41K

$88.9K

$137.5K

How much do readme jobs pay per year?

As of Jun 8, 2026, the average yearly pay for readme in the United States is $88,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $104,000.00 per year, depending on experience, location, and employer.
More about Readme jobs
What cities are hiring for Readme jobs? Cities with the most Readme job openings:
What states have the most Readme jobs? States with the most job openings for Readme jobs include:
Infographic showing various Readme job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 2% Part Time, 5% Temporary, and 7% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $88,927 per year, or $42.8 per hour.
GenAI Engineer

GenAI Engineer

TrinityRail

Dallas, TX • On-site

Full-time

Posted 29 days ago


TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

114th of 140 rated vehicle equipment hire


Job description

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization, supporting rail optimization and shipper decisioning solutions. In this role, you will use Claude and modern AI tooling to build data pipelines, accelerate data science work, and ship production AI capabilities on top of our Azure and Databricks platform.
You will sit at the intersection of data engineering and data science. You will be involved in building data pipelines, training and evaluating models, and building LLM-powered systems - but what amplifies this role beyond a standard DS/DE seat is your fluency with Claude as a development partner: Claude Code, custom Skills, sub-agents, hooks, and the Model Context Protocol (MCP). You will partner with data engineers, data scientists, analysts, and business stakeholders to turn telematics, maintenance, and operations data into decisions our customers and operators can act on.
Join our team today and be a part of Delivering Goods for the Good of All!
What you'll do:
  • Design, develop, and operate data pipelines on Databricks ( PySpark, SQL, Python)
  • Build and ship LLM applications and agents using the Claude API - document extraction, RAG over maintenance and tariff data, internal copilots, and workflow automation
  • Use Claude Code as a primary engineering tool: author and maintain Claude Code Skills (packaged slash-command workflows), sub-agents, hooks, and MCP integrations that let the team build pipelines and analytical assets faster
  • Partner with data scientists on model development - feature pipelines, evaluation harnesses, training runs, and the path from notebook to production
  • Process and optimize large-scale datasets, including IoT, telematics, and geospatial data, to support analytical and operational use cases
  • Establish and enforce engineering hygiene around AI work - prompt evaluation, cost governance (prompt caching, model routing), monitoring, and drift detection
  • Translate ambiguous business problems from rail, service, and operations stakeholders into shipped pipelines, models, or AI tools
  • Apply version control and collaborative development practices across Azure DevOps repos and pipelines to ensure code quality and deployment readiness
  • Identify and implement process improvements and automation to improve pipeline efficiency, reliability, and maintainability
  • Partner with management to prioritize data initiatives and align engineering solutions with organizational information needs

Qualifications
What you'll need:
The core test for this role is simple: can you manage pipelines and extract data from Databricks, and can you use Claude as a real engineering partner? If yes, you can do this job.
  • Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred
  • 8+ years in data engineering including prior experience in data transformation
  • Databricks: hands-on experience building, running, and debugging data pipelines using medallion architecture (bronze / silver / gold). Comfortable extracting data, writing PySpark, SQL, and Python, and managing jobs end to end
  • IDE fluency: daily driver in VS Code, Cursor, JetBrains, or equivalent - comfortable in repos, terminals, and modern dev workflows
  • Claude Code: hands-on experience with the Claude Code architecture - Skills, sub-agents, hooks, MCP servers, and settings - and how to compose them into reliable engineering workflows. Bring examples of what you have built
  • Claude API (or equivalent): production experience with prompt design, tool use, structured output, and evaluation
  • Applied data science: comfortable with the model lifecycle - feature engineering, evaluation, and the path from notebook to production (You do not need to be a research scientist)
  • Team engineering hygiene: Git, code review, CI, and Azure DevOps repos and pipelines
  • Communication: able to explain a model, a pipeline, or a trade-off to a non-technical stakeholder without losing them
THE FOLLOWING MUST ATTACHED TO YOUR APPLICATION:
Submit your resume along with a link to a personal GitHub repository (or public gist) showcasing your Claude Code architecture - Skills, sub-agents, hooks, MCP servers, settings, or any combination you have built. A short README explaining what each piece does and why you built it is more valuable than volume. If the repo is private, a redacted tree, settings.json, and one or two example Skill files are sufficient
Candidates who include a working Claude Code repo with their application will be prioritized for the technical round.