MID AI Product Engineer (.NET + React + Generative AI)

About the Role

We're building a new AI Product Engineering team in Mexico and are looking for engineers who want to help shape the future of AI-powered software development.

This is not a traditional software engineering role.

We're looking for engineers who use AI as part of their daily development workflow—not only to generate code, but also to analyze business problems, create technical specifications, orchestrate AI tools, validate AI-generated code, and deliver production-ready software.

You'll work closely with Product Managers, Architects, and Tech Leads to transform business requirements into scalable AI-powered applications used by enterprise customers.

If you're passionate about modern software engineering, Generative AI, and building products that solve real business problems, we'd love to meet you.

What You'll Do

AI-First Software Development

• Build modern full-stack applications using ASP.NET Core (.NET) and React + TypeScript.
• Use AI coding assistants such as Claude Code, Cursor, GitHub Copilot or similar as part of your daily development workflow.
• Transform business requirements into technical specifications before implementation.
• Break down features into implementation tasks and AI-assisted development plans.
• Review, validate and improve AI-generated code to ensure quality, security and maintainability.
• Deliver production-ready software focused on scalability and business value.

Generative AI Engineering

• Integrate Anthropic Claude, OpenAI, Azure OpenAI, Gemini or similar Large Language Models into production applications.
• Develop AI-powered features including:
• Conversational Assistants
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Intelligent Search
• Recommendation Engines
• Workflow Automation
• Build retrieval pipelines using embeddings and vector databases.
• Design, evaluate and optimize prompts for production environments.
• Improve AI performance through testing, evaluation and prompt iteration.

Product Engineering

• Collaborate directly with Product Managers and business stakeholders.
• Convert ambiguous business problems into technical solutions.
• Own features from discovery through production.
• Balance technical quality, business value and delivery speed.
• Participate in architecture discussions and technical decision making.

Cloud & Delivery

• Deploy applications on Microsoft Azure.
• Build and maintain CI/CD pipelines.
• Participate in code reviews.
• Work with distributed teams across US and Mexico.

Required Qualifications

• 3–7 years of professional software development experience.
• Strong experience developing applications using ASP.NET Core (.NET).
• Strong experience with React and TypeScript.
• Experience integrating Large Language Models into production applications.
• Experience integrating Anthropic Claude, OpenAI, Azure OpenAI or similar using SDKs or APIs.
• Daily experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot or similar.
• Experience developing production AI-powered software.
• Experience building REST APIs.
• SQL, Git and Agile development experience.
• Azure experience including deployments or CI/CD.
• Strong English communication skills.
• Based in Mexico and available during US business hours.

Preferred Qualifications

• Retrieval-Augmented Generation (RAG)
• AI Agents
• Multi-Agent Systems
• MCP
• Vector Databases (Pinecone, Qdrant, pgvector, Chroma, Weaviate)
• Embeddings
• Prompt Engineering
• Context Engineering
• LangChain
• LangGraph
• Semantic Kernel
• Azure AI Foundry
• AI Evaluation
• AI Observability
• Token Optimization
• Cost Optimization
• Enterprise API integrations
• Healthcare, Supply Chain or other regulated industries
• Experience working with US-based teams

What We're Looking For

T

he strongest candidates are engineers who:

• Think about business problems before writing code.
• Translate requirements into technical specifications.
• Use AI to accelerate software development—not replace engineering judgment.
• Validate and improve AI-generated code.
• Continuously learn and adopt new AI development workflows.
• Take ownership of product outcomes rather than simply completing development tasks.

Please

note: Your initial contact will be an automated phone interview with our AI Agent to validate basic requirements, availability, and salary expectations. Please note that the call will come from an international number, so keep an eye on your phone . If you miss it, you will receive a second call; if you still cannot answer, don't worry! You will automatically receive an email with a link to complete the interview whenever you wan t ✨.