Senior Backend AI Engineer — Hybrid (LLM & Agentic AI)

Techaxis, Inc.; Phoenix (AZ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Techaxis is seeking a Senior Backend Engineer to design, develop, and maintain scalable backend systems powering our applications. The role requires 7+ years of experience, strong background in distributed systems, LLM systems, agentic workflows, and cloud technologies.

The position is permanent, full-time, hybrid in New York or Phoenix, and US citizens and green card holders are preferred. You will own core services, APIs, data pipelines, and work with cross-functional teams to deliver reliable

Qualifications

• 7+ years of backend engineering experience.
• Strong knowledge of distributed systems and cloud infrastructure.
• Experience with LLM systems and agentic workflows.
• Proven ownership of complex systems across teams.
• Fluent in RESTful APIs and microservices design.

Responsibilities

• Design, develop, and maintain scalable backend services.
• Lead cross-functional collaboration with data, ML, and frontend teams.
• Drive reliability, performance, and security in backend systems.
• Shape technical direction and mentor juniors.

Skills

Backend development

Distributed systems

LLM systems

Agentic workflows

Cloud (AWS/GCP)

Kubernetes

REST/Microservices

Databases (SQL/NoSQL)

CI/CD pipelines

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Docker

Kubernetes

AWS

GCP

PostgreSQL

MongoDB

Redis

Git

CI/CD

Job description

Techaxis is seeking a Senior Backend Engineer to design, develop, and maintain scalable backend systems powering our applications. The role requires 7+ years of experience, strong background in distributed systems, LLM systems, agentic workflows, and cloud technologies.

The position is permanent, full-time, hybrid in New York or Phoenix, and US citizens and green card holders are preferred. You will own core services, APIs, data pipelines, and work with cross-functional teams to deliver reliable