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Acunor information
What is an Acunor?
What is the typical team structure and collaboration style for professionals working as Acunors?
What is the difference between Acunor vs Medical Assistant?
| Aspect | Acunor | Medical Assistant |
|---|---|---|
| Required Credentials | Certification or specialized training in Acunor procedures | Certified or registered medical assistant certification often preferred |
| Work Environment | Medical clinics, outpatient facilities, or specialized healthcare settings | Hospitals, clinics, physician offices |
| Employer & Industry Usage | Healthcare providers offering Acunor treatments | General healthcare providers and clinics |
| Common Search & Comparison | Acunor vs Medical Assistant |
While both roles operate within healthcare settings, Acunor specialists focus on specific procedures related to Acunor treatments, requiring specialized training. Medical assistants perform broader clinical and administrative tasks across various healthcare environments. Understanding these differences helps patients and employers choose the right professional for their needs.
What are the key skills and qualifications needed to thrive as an Acunor?
Other
Posted 4 days ago
Job description
Title: AI Engineer / AI Platform Engineer
Experience: 8+ years preferred
Location: San Deigo, CA
Role Overview
We are looking for a hands-on AI Engineer / AI Platform Engineer to design, build, and integrate enterprise AI solutions that improve software engineering productivity, automation, and intelligent decision-making.
This role is ideal for someone with strong software engineering experience and practical exposure to Generative AI, AI agents, LLM-based applications, AI-assisted development tools, and modern enterprise application architecture.
Key Responsibilities
AI Engineering & Solution Development
- Build AI-enabled applications using LLMs, AI agents, RAG, enterprise search, intelligent assistants, and workflow automation.
- Develop reusable AI services, APIs, accelerators, and components for enterprise adoption.
- Integrate AI solutions with internal applications, enterprise data sources, APIs, and workflow platforms.
AI-Enabled SDLC Implementation
- Apply tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT Enterprise, or similar platforms across the SDLC.
- Support use cases across requirements, design, coding, debugging, testing, documentation, and deployment.
- Work with internal AI teams to refine AI engineering workflows, prompting patterns, and reusable development frameworks.
Application Engineering & Platform Readiness
- Design and develop backend services, APIs, microservices, and frontend components as needed.
- Work with modern stacks such as .NET / C# / ASP.NET Core, Angular, JavaScript, TypeScript, or comparable technologies.
- Support Agile delivery, CI/CD integration, rapid prototyping, stakeholder demos, and production readiness.
Required Qualifications
- 8+ years of software engineering, full stack development, or platform engineering experience.
- Hands-on experience with GenAI, LLM applications, AI agents, RAG, or intelligent automation.
- Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
- Strong experience with APIs, microservices, cloud-native architecture, Agile, DevOps, and CI/CD.
- Development background in .NET / C#, Angular, JavaScript, TypeScript, Python, Java, or similar.
- Exposure to LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini is preferred.
- Strong communication skills and ability to work with product, engineering, architecture, and business teams.
About Acunor
Sourced by ZipRecruiter
Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Princeton, NJ, US
Year founded
2016