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Senior Python Ai Jobs (NOW HIRING)

Senior Python Engineer, AI

$124K - $167K/yr

We are seeking a Senior Python Engineer, AI to help design, develop, and maintain scalable backend services, integrations, and platform capabilities that support critical business workflows and ...

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

We are looking for an experienced Python backend/application developer for our AI platform. As a Senior Python Developer, you will lead the design, development, and deployment of scalable ...

Senior Python Software Engineer Location: Vilnius, Lithuania (Hybrid) Department: Innovation ... Visualize and implement AI-powered features. * Ensure software is scalable, secure, and ...

Sr Python Developer

Fort Mill, SC · Remote

$124K - $167K/yr

Job Title Sr Python Developer Location 100% Remote Work Duration 6 months + (Contract) MUST HAVE ... AI Tools - Claude, Codex, etc Role Overview We are seeking a Senior Software Engineer to support a ...

Senior Python Developer

New York, NY · On-site

$121K - $181K/yr

The Senior Python Developer is an intermediate level position responsible for participation in the ... Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights ...

Senior Python Developer

Manhattan, NY · On-site

$121.20 - $181.80/hr

Senior Python Developer Intermediate‑level position responsible for participation in the ... Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights ...

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Senior Python Ai information

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$55K

$142K

$195K

How much do senior python ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior python ai in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

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What are the most commonly searched types of Python Ai jobs?

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What states have the most Senior Python Ai jobs?

States with the most job openings for Senior Python Ai jobs include:

Infographic showing various Senior Python Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior Python Developer (AI Evaluation & Benchmarking)

Lifted, an Upwork Company™

Texas City, TX • Remote

$80 - $100/hr

Contractor

Re-posted 22 days ago


Job description

Company Description

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.

The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.

Job Description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You'll Do:

  • Design and develop coding benchmarks used to evaluate frontier AI models.
  • Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
  • Create structured programming scenarios to test reasoning, debugging, and code quality.
  • Work with large codebases and multi-language software environments.
  • Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
  • Write clean, maintainable, and well-tested Python code following software engineering best practices.
Qualifications

Requirements:

  • 4+ years of professional software engineering experience (required).
  • Expert-level proficiency in Python.
  • Experience working at a high-growth technology company or top-tier software organization.
  • Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
  • Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
  • Strong understanding of software engineering best practices, debugging, and code quality.
  • Excellent analytical and problem-solving skills.

Nice to Haves:

  • Experience with AI/ML evaluation, model benchmarking, or Generative AI.
  • Background in security engineering.
  • Significant contributions to open-source software projects.
  • Experience working with large-scale distributed systems or enterprise software platforms.
Additional Information
  • Fully remote contract opportunity.
  • Compensation ranges from $80-$100 USD per hour.
  • Expected workload is 10-39 hours per week, depending on project needs.
  • Weekly payments for approved work completed during the previous week.
  • Work volume may fluctuate throughout the duration of the engagement.

Hiring Process:

  • Submit your proposal.
  • Complete a short qualification form provided by the client.
  • Qualified candidates will receive an Upwork contract offer and onboarding instructions.
  • After accepting the contract, candidates will gain access to the client's evaluation.
  • Candidates who successfully pass the evaluation will be invited to a technical interview with the client.