Fullstack AI Engineer / AI Platform Engineer

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.