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Remote Python Engineer Jobs in New Mexico (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95.50K - $130.70K/yr

Strong coding and automation skills in Python, Bash, or similar scripting languages. * Experience ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95.50K - $130.70K/yr

Strong coding and automation skills in Python, Bash, or similar scripting languages. * Experience ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Strong experience developing AI solutions in Python, Golang, or Typescript. * Strong analytical ... Engineering or other IT-related field or equivalent experience REMOTE WORK NOTICE: This position ...

Indotronix International Corporation

$70 - $75/hr

Fully Remote candidates will be considered. Hybrid candidates who can come in person up to twice a ... least one high-level programming languages such as Python, Ruby, or Go. Capabilities • ...

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Remote Python Engineer information

See New Mexico salary details

$22.3K

$135.6K

$196.2K

How much do remote python engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote python engineer in New Mexico is $135,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $159,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Engineer, and why are they important?

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are popular job titles related to Remote Python Engineer jobs in New Mexico? For Remote Python Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Python Engineer jobs in New Mexico look for? The top searched job categories for Remote Python Engineer jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Python Engineer jobs? Cities in New Mexico with the most Remote Python Engineer job openings:
Remote Python Engineer jobs near you
Infographic showing various Remote Python Engineer job openings in New Mexico as of May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 44% Physical, 3% Hybrid, and 53% Remote job distribution, with an average salary of $135,642 per year, or $65.2 per hour.

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM • On-site, Remote

$95.50K - $130.70K/yr

Full-time

Posted 27 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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