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Mid Level Github Software Engineer Jobs (NOW HIRING)

2HB Incorporated

This is a full-time position, and requires a TS/SCI/Full Scope Polygraph Clearance. 2HB Incorporated is seeking a Mid-Level Software Engineer in order to support its government customer in Annapolis ...

2HB Incorporated

This is a full-time position, and requires a TS/SCI/Full Scope Polygraph Clearance. 2HB Incorporated is seeking a Mid-Level Software Engineer to support its government customer in Annapolis Junction ...

2HB Incorporated

This is a full-time position, and requires a TS/SCI/Full Scope Polygraph Clearance. 2HB Incorporated is seeking a Mid-Level Software Engineer to support its government customer in Annapolis Junction ...

AxisCare

Software Engineer (Mid-Level)

Waco, TX · On-site

- Software Engineer (Mid-Level) Reports To - Engineering Manager Summary AxisCare is hiring a ... A blog, a GitHub with substantive projects, recorded talks, discussions about tough product ...

Guru Schools

Software Engineer Mid-Level

Des Moines, IA · On-site

Software Engineer Mid-Level Position Responsibilities Software Engineer Location: Hybrid in Des (Need local only) Duration : 6 months Project: * Going to be supporting their corporate accounting and ...

AxisCare

Software Engineer (Mid-Level)

Waco, TX · Remote

Salary: - Software Engineer (Mid-Level) Reports To - Engineering Manager Summary AxisCare is hiring ... A blog, a GitHub with substantive projects, recorded talks, discussions about tough product ...

AxisCare

Software Engineer (Mid-Level)

Waco, TX · Remote

- Software Engineer (Mid-Level) Reports To - Engineering Manager Summary AxisCare is hiring a ... A blog, a GitHub with substantive projects, recorded talks, discussions about tough product ...

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Mid Level Github Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do mid level github software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for mid level github software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Github Software Engineer vs Junior Software Developer?

AspectMid Level Github Software EngineerJunior Software Developer
Required CredentialsBachelor's in CS or related field, some experience with GitHub and codingTypically entry-level, may have internship or coursework experience
Work EnvironmentCollaborative teams, Agile/Scrum environments, using GitHub for version controlLearning-focused, supervised tasks, basic version control use
Employer & Industry UsageTech companies, startups, open-source projectsEntry-level roles across various industries, including tech and non-tech

The Mid Level Github Software Engineer is expected to have practical experience with GitHub, coding, and collaborative development, whereas a Junior Software Developer is typically at an entry-level stage, focusing on learning and basic tasks. The mid-level role involves more independence and complex problem-solving, while the junior role emphasizes skill development and mentorship.

More about Mid Level Github Software Engineer jobs
What cities are hiring for Mid Level Github Software Engineer jobs? Cities with the most Mid Level Github Software Engineer job openings:
What are the most commonly searched types of Github Software Engineer jobs? The most popular types of Github Software Engineer jobs are:
What states have the most Mid Level Github Software Engineer jobs? States with the most job openings for Mid Level Github Software Engineer jobs include:
What job categories do people searching Mid Level Github Software Engineer jobs look for? The top searched job categories for Mid Level Github Software Engineer jobs are:
Mid Level Github Software Engineer jobs near you
Infographic showing various Mid Level Github Software Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer (Mid-Level)

Full Scope

San Francisco, CA • On-site

Other

Posted 3 days ago

Job description

Job Title:AI Software Engineer (Mid-Level)
Location:San Francisco, CA
Required Clearance: Secret
Salary:Competitive
We are seeking a talented and motivated Mid-Level AI Software Engineer to join our AI team. The ideal candidate will have a solid foundation in software engineering and a passion for applying AI techniques to solve complex problems. You will be responsible for designing, developing, and implementing AI-driven applications and systems that align with our strategic goals.
Key Responsibilities:
  • Minimum 7 years' experience.
  • Design, develop, and implement AI models and algorithms to address various business challenges.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Develop and maintain AI pipelines and infrastructure to support model training, evaluation, and deployment.
  • Integrate AI models into production systems and monitor their performance.
  • Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
  • Stay updated with the latest advancements in AI and machine learning and apply relevant techniques to projects.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience as a Software Engineer with a focus on AI or machine learning.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, data structures, and software design principles.
  • Experience with data processing tools like Pandas and NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment.
  • Knowledge of DevOps practices and tools like Docker, Kubernetes, and CI/CD pipelines.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Previous experience in a fast-paced, innovative environment.

Apply