AI & Architecture Technical Specialist

Vairix; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Vairix is seeking a senior software engineer to drive architecture decisions, design scalable systems, and lead the implementation of AI-powered features. The role blends hands-on coding with technical leadership across complex projects, including LLM/RAG integrations and AI workflow automation.

You will mentor engineers, participate in design reviews, and help set standards for production-grade AI solutions.

Qualifications

• 7+ years of professional software engineering experience, with substantial involvement in architecture decisions.
• 4+ years contributing to or leading software architecture work.
• Strong hands-on TypeScript skills and production experience with Python, Go, or Rust.
• Production experience building and deploying LLM or RAG systems, including retrieval, embeddings, agents, and LLM APIs.
• Experience with AI/ML operational workflows, such as pipelines, automation, deployment, or infrastructure as code.

Responsibilities

• Design scalable, maintainable systems and work with clients to understand requirements, constraints, and technology choices.
• Turn architecture decisions into production-ready implementations when needed.
• Build AI-powered features such as LLM integrations, retrieval-augmented generation, agents, embeddings, and retrieval pipelines.
• Improve AI and machine-learning pipelines, including automation, deployment, and infrastructure considerations.
• Lead technical discussions and code reviews, investigate difficult engineering issues, and document reusable patterns and standards.
• Provide technical guidance and mentorship to other engineers.

Skills

TypeScript

Python

Go

Rust

LLM/RAG

AI workflows

Tools

Docker

Kubernetes

Next.js

FastAPI

Job description

Role overview

Combine architecture, hands-on software engineering, AI implementation, and technical leadership across complex project work. Depending on the engagement, you may shape a system design, build production code, guide engineering decisions, or implement AI workflows, with scope that can shift as project needs evolve.

Responsibilities

• Design scalable, maintainable systems and work with clients to understand requirements, constraints, and suitable technology choices.
• Turn architecture decisions into production-ready implementations when needed.
• Build AI-powered features such as LLM integrations, retrieval-augmented generation, agents, embeddings, and retrieval pipelines.
• Improve AI and machine-learning pipelines, including automation, deployment, and infrastructure considerations.
• Lead technical discussions and code reviews, investigate difficult engineering issues, and document reusable patterns and standards.
• Provide technical guidance and mentorship to other engineers.

Requirements

• At least seven years of professional software engineering experience, including substantial involvement in architecture decisions.
• At least four years contributing to or leading software architecture work.
• Strong hands-on TypeScript skills and production experience with another language such as Python, Go, or Rust.
• Production experience building and deploying LLM or RAG systems, including retrieval, embeddings, agents, and LLM APIs.
• Experience with AI/ML operational workflows, such as pipelines, automation, deployment, or infrastructure as code.
• Ability to move between system design, implementation, technical leadership, and troubleshooting.

Nice to have

• Experience with the Claude API, Next.js, FastAPI, Go microservices, Docker, Kubernetes, serverless systems, or cloud infrastructure.
• Experience designing agent-based AI workflows and mentoring teams through architecture decisions.

Benefits and work setup

• The engagement may begin on a flexible or project basis, with the possibility of expanding into full-time work as demand changes.