Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Define architecture and integration strategies for Physical AI services and cloud-native backend platforms with an accent on scalable microservices and API standards. Focus on building high-performance integration adapters, solving complex system design challenges, and driving engineering excellence in autonomy systems.

Location: Must be based in Irving, TX (Dallas). Position requires working onsite five days a week.

Salary: $147,760.00 - $240,110.00

Company

hirify.global is a global leader in constructing a better world through intelligence layers connecting machines, data, and people to make jobsites safer and more productive.

What you will do

• Define and drive architecture for backend microservices and APIs using Java, Spring Boot, and Python.
• Lead the design and delivery of scalable, secure, and high-performance cloud-native services.
• Establish and enforce API standards, service contracts, and integration patterns (REST, gRPC, event-driven).
• Provide technical leadership on complex system design, service scalability, and integration challenges.
• Mentor engineers and elevate team capability in microservices design and backend engineering best practices.
• Collaborate with cross-functional teams to define platform service boundaries and integration contracts.

Requirements

• Must be based in Irving, TX (Dallas).
• Strong experience building backend microservices and APIs for autonomy or real-time systems.
• Expertise in designing scalable cloud-native architectures and integration patterns.
• Strong backend development skills using Java or Python for APIs and data processing.
• Deep understanding and application of software design patterns.
• Experience with AI-assisted/agentic development workflows and validating AI-generated code.

Nice to have

• Experience building production AI agents using Python and frameworks like LangChain or LangGraph.
• Experience integrating LLMs with external tools, APIs, databases, and retrieval systems.
• Experience designing evals, guardrails, and monitoring for agent reliability.
• Knowledge of MLOps or model deployment experience.
• Multi-agent workflow design and memory/context management.

Culture & Benefits

• Comprehensive medical, dental, and vision benefits.
• 401(k) savings plans, Health Savings Account (HSA), and Flexible Spending Accounts (FSAs).
• Paid time off plan including vacation, holidays, and volunteer time.
• Tuition reimbursement and career development opportunities.
• Parental and adoption benefits.

Hiring process

• Employment offer is conditioned upon the successful completion of a drug screen.