AI Engineer / AI Platform Engineer

Acunor Infotech

San Diego, CA, United States

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

ASP.NET Java (Programming Language) JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure C Sharp (Programming Language) Cloud Engineering Continuous Integration

+17 more

Cursor (Graphical User Interface Elements) Software Debugging DevOps Python (Programming Language) Systems Development Life Cycle Rapid Prototyping Process Software Engineering TypeScript Enterprise Search GitHub Copilot Large Language Models Backend AI Platforms AngularJS Front End Software Development GPT Microservices

Job description

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.

Requirements

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.