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Home Based Augmented Reality Developer Jobs in Springfield, TN

Agency Home Office: Nashville, Tennessee Additional Information: The WBT Developer must have 5 or more years experience developing computer based training (CBT) and web based training (WBT). The ...

We're looking for a talented Software Developer who enjoys solving complex problems and building ... work from anywhere in the United States. * Competitive salary with performance-based bonuses.

Remote DevOps Engineer

Nashville, TN · On-site

$120K - $155K/yr

What You'll Do * Design, implement, and maintain cloud-based infrastructure and deployment ... Why Join Our Team? * 100% remote work from anywhere in the United States. * Competitive salary ...

This position can be based in our global operations center in Tampa, FL, or at one of the Firm ... retrieval-augmented generation (RAG) concepts, and evaluation of model outputs. * Working ...

... augmented development. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt-based ... non-programmers building first applications through developers integrating AI into existing ...

Flexible work schedule with work from home options for numerous roles * Weekly communication from ... HMI based control systems * Learn how to write structured, well-documented, bug-free PLC code

New

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Home Based Augmented Reality Developer information

What is a home based augmented reality developer?

Home Based Augmented Reality (AR) Developers are professionals who design, build, and test AR applications while working remotely, typically from their own homes. They use technologies like ARKit, ARCore, Unity, or Unreal Engine to create interactive digital experiences that blend virtual elements with the real world. These developers often collaborate with teams online, working on everything from gaming and education apps to marketing tools and industrial solutions. The demand for home-based AR developers is growing as companies embrace remote work and invest in immersive technologies.

What are the key skills and qualifications needed to thrive as a home based augmented reality developer?

To thrive as a Home Based Augmented Reality Developer, you need strong programming skills (commonly in C#, C++, or JavaScript), 3D modeling knowledge, and a background in computer science or a related field. Familiarity with AR development platforms like Unity or Unreal Engine, and experience using AR toolkits such as ARKit or ARCore, are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a home-based setting. These competencies enable the creation of engaging AR experiences and ensure successful collaboration with remote teams and stakeholders.

How do home based augmented reality developers typically collaborate with design and engineering teams remotely?

Home Based Augmented Reality Developers often work closely with cross-functional teams using collaboration tools like Slack, Jira, and version control platforms such as GitHub. Regular video meetings and screen-sharing sessions help bridge the gap between remote developers and on-site designers or engineers, ensuring alignment on project goals and timely feedback. This remote structure requires strong communication skills and proactive sharing of progress, as well as clear documentation of code and AR assets. Many teams also use shared cloud-based development environments to streamline testing and integration of AR features.

What is the difference between Home Based Augmented Reality Developer vs Mobile Augmented Reality Developer?

AspectHome Based Augmented Reality DeveloperMobile Augmented Reality Developer
Work EnvironmentPrimarily remote, working from homeTypically works on mobile devices, often in office or on-site
Required SkillsAR development, programming, remote collaborationAR, mobile app development, device-specific optimization
Industry UsageFreelance, startups, remote teamsTech companies, app developers, gaming

Home Based Augmented Reality Developers focus on creating AR applications remotely, often for clients or startups, using general AR skills. Mobile Augmented Reality Developers specialize in developing AR experiences specifically for mobile devices, requiring knowledge of mobile platforms and device-specific features. Both roles share core AR development skills but differ mainly in work environment and platform focus.

What cities near Springfield, TN are hiring for Home Based Augmented Reality Developer jobs?

Cities near Springfield, TN with the most Home Based Augmented Reality Developer job openings:

Cloud Engineer- Data/AI Focused

Nashville, TN

$100K - $160K/yr

Full-time

Re-posted 12 days ago


Job description

As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.


What You'll Do:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

Required Skills:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Proven track record delivering production AI applications from concept to deployment
  • Strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Experience working in agile/scrum environments with distributed teams
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong written and verbal communication skills for client-facing interactions

Preferred:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code
$100,000 - $160,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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