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Remote Software Engineer 150K Jobs in New Mexico

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... software developers, and data consumers in a fast-paced, agile environment. You'll use your ...

Cisco

Software Security Lead (Remote)

Santa Fe, NM · Remote

We own software security across the full range of enterprise technology in scope ... We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ...

Cisco

Software Security Lead (Remote)

Santa Fe, NM · Remote

We own software security across the full range of enterprise technology in scope ... We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ...

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Remote Software Engineer 150K information

What does a remote software engineer earning $150K do?

A Remote Software Engineer earning $150K is typically responsible for designing, developing, testing, and maintaining software applications from a remote location. They collaborate with team members using digital communication tools, write clean and efficient code, debug issues, and participate in code reviews. These engineers often work for tech companies or startups, and their high salary reflects their experience, specialized skills, and the complexity of the projects they handle.

What are the key skills and qualifications needed to thrive as a remote software engineer earning $150K?

To thrive as a Remote Software Engineer at this level, you need advanced programming skills, a strong understanding of software development methodologies, and typically a degree in computer science or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and frameworks relevant to your tech stack is essential, alongside certifications like AWS Certified Developer or similar. Strong self-motivation, time management, and excellent written communication are crucial soft skills for collaborating effectively across distributed teams. These abilities ensure consistent delivery of high-quality code, seamless teamwork, and the ability to meet the expectations of a high-paying, remote engineering role.

How does collaboration typically work for remote software engineers, and what tools are commonly used to stay connected with the team?

Remote software engineers often collaborate through digital platforms such as Slack for messaging, Zoom or Microsoft Teams for video meetings, and Jira or Trello for project management. Regular stand-ups and code reviews are scheduled to ensure everyone is aligned and projects stay on track. While the work is independent, strong communication skills are essential, as much of the collaboration happens asynchronously. Many teams also use version control systems like GitHub or GitLab to manage code and facilitate peer reviews.

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Remote Software Engineer 150K jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Roswell, NM • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply