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Manager Remote Unity Developer information
What is the difference between Manager Remote Unity Developer vs Remote Unity Developer?
| Aspect | Manager Remote Unity Developer | Remote Unity Developer |
|---|---|---|
| Primary Role | Oversees development teams, manages projects, and coordinates tasks | Develops and implements Unity-based applications or games |
| Required Skills | Leadership, project management, Unity expertise, coding skills | Strong Unity and C# skills, game development experience |
| Work Environment | Remote team management, collaboration with designers and developers | Remote coding, design, and testing |
| Common Usage | Used by companies seeking project oversight and team leadership | Used by developers focused on hands-on Unity development |
The main difference is that a Manager Remote Unity Developer focuses on leading teams and managing projects, while a Remote Unity Developer primarily concentrates on coding and developing Unity applications. Both roles require Unity expertise, but the managerial position emphasizes leadership and coordination skills.
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 12 days ago
Job description
This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.
The candidate must reside within the continental US.
Responsibilities:
- Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
- Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
- Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
- Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
- Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
- Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
- Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
- 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
- Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
- Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
- Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval-augmented generation (RAG) architectures.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
- Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.
Additional Qualifications:
- Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
- Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
- Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
- Ability to obtain a government clearance is a plus.
Benefits:
- Medical/Dental/Vision.
- 401k with Employer Match.
- PTO + Federal Holidays.
- Corporate Laptop.
- Training opportunities.
- Remote Opportunity.
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time
About VetsEZ
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
San Diego, CA, US
Year founded
2012