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Internship Remote Full Stack Software Developer Jobs in New Mexico

Senior AI Technologist

Albuquerque, NM ยท On-site +1

$50.50 - $65/hr

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.

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

Solutions Architect 4

Los Alamos, NM ยท On-site +1

$68.50 - $90.25/hr

Our engineers, scientists, technical and project employees serve our clients from offices across ... Provide hands-on guidance on Databricks full-stack solution design; * Advise on design of both data ...

HTML Tutor

Albuquerque, NM ยท Remote

$18 - $40/hr

... engineering pathways. * Conceptual Teaching & Problem-Solving: Skilled at teaching web page ... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ...

$47 - $62.25/hr

... software systems in a cross-functional team environment through adherence to established design ... Familiarity with CI/CD and DevOps tools (e.g., Git, Copado, Gearset, Jenkins) * Experience with ...

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Internship Remote Full Stack Software Developer information

What are the key skills and qualifications needed to thrive as an Internship Remote Full Stack Software Developer, and why are they important?

To thrive as an Internship Remote Full Stack Software Developer, you need a solid understanding of front-end and back-end development, proficiency in languages like JavaScript, Python, or Java, and ideally, some academic background in computer science or related fields. Familiarity with frameworks (such as React or Node.js), version control systems like Git, and exposure to cloud platforms are often expected. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for remote collaboration and learning. These skills ensure you can contribute to projects, adapt quickly, and work efficiently in a distributed team environment.

What is a remote full stack software developer internship?

A remote full stack software developer internship is a temporary position where interns work from a location of their choice, typically their home, to gain hands-on experience in both front-end and back-end software development. Interns in this role learn to build, test, and maintain web applications using a range of technologies and programming languages. They collaborate with teams virtually, gaining exposure to real-world software development practices, version control, and agile workflows. This type of internship is ideal for students or recent graduates looking to enhance their technical skills and work experience in a flexible, remote environment.

What types of projects can I expect to work on as a remote full stack software development intern?

As a remote full stack software development intern, you will typically be involved in a variety of projects that span both front-end and back-end development. Common tasks include building new features, fixing bugs, and collaborating on code reviews with your team. You may also participate in daily stand-ups and interact with designers, product managers, and other developers, giving you a well-rounded experience. These projects are often designed to help you build practical skills and gain exposure to modern frameworks, version control, and agile workflows.
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What cities in New Mexico are hiring for Internship Remote Full Stack Software Developer jobs? Cities in New Mexico with the most Internship Remote Full Stack Software Developer job openings:

Senior AI Technologist

Berriehill Research

Albuquerque, NM โ€ข On-site, Remote

$50.50 - $65/hr

Full-time

Posted 11 days ago


Job description

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our enterprise AI program from the ground up by identifying high-value use cases, assessing AI readiness, and guiding the implementation of secure, scalable AI solutions.

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and automation frameworks to solve real business challenges and improve operational efficiency. This role focuses on applying existing AI technologies to deliver business value rather than developing or training AI models.

You will partner with technical teams to deploy AI solutions in highly regulated on-premises and cloud environments while ensuring alignment with security, governance, and enterprise architecture standards.

Essential Functions:

  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and establish data structures, metadata models, naming conventions, and information architecture standards that enable scalable AI solutions.
  • Design AI solution approaches using existing technologies such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and orchestration frameworks to address business and operational challenges.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:

  • Bachelorโ€™s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.

Preferred:

  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:

  • Bachelorโ€™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.