Equinix→
Associate Software Engineer at Equinix in Dallas, TX
Skills
Job Description
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
Job Summary
The Associate Software Engineer (AI Engineer) supports the development, deployment, and operation of AI‑ and ML‑powered systems in a cloud‑native environment. This role focuses on operationalizing modern AI systems—including agentic workflows and MCP‑based architectures—through software engineering, automation, observability, and lifecycle management. The engineer modifies software to address issues, develops small enhancements, participates in testing and validation activities, and contributes to AI platform reliability with guidance from senior engineers.
Responsibilities
Requirements Analysis
Reviews, interprets, and clarifies requirements and functional designs for AI and ML workloads
Understands system‑level objectives for agentic workflows, data integrations, and platform automation
Software / Application Architecture
Assists with documenting, maintaining, and improving architecture for AI systems, MCP server integrations, and cloud‑based workflows
Contributes to design documentation for AI pipelines, orchestration flows, and system integration points
Software Design
Contributes to design documentation for AI pipelines, orchestration flows, and system integration points
Development / Coding
Develops and maintains Python‑based code for small enhancements and AI/ML pipeline components
Fixes simple defects, participates in peer code reviews, and adheres to engineering standards
Integrates AI systems with APIs, data sources, and internal services
Application QA
Develops unit tests and participates in test case execution for AI pipelines and agentic services
Logs defects and collaborates with teammates to validate fixes and improvements
DevOps
Supports CI/CD pipelines for AI and ML workloads
Assists in deploying and operating services on Google Cloud Platform (GCP)
Helps deploy and manage AI services running on Kubernetes with coaching from senior engineers
Software Reliability & Support Engineering
Contributes to implementing monitoring and alerting for system health, performance, and reliability
Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
0–3 years of professional experience
Proficiency in Python
Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
Strong working knowledge of SQL
Experience with LLM prompt engineering
Understanding of CI/CD and infrastructure automation concepts
Experience with version control and collaborative development practices
Preferred / Nice‑to‑Have Skills
Experience working with MCP servers
Experience building Agent‑to‑Agent workflows
Exposure to deploying or operating LLMs in development or production settings
Familiarity with ML Ops practices such as model versioning, monitoring, and reproducibility
Experience with Kafka or event‑driven architectures
Knowledge of observability and reliability best practices
Internship, academic, or project experience operating AI systems at scale
What We Offer
Mentorship from senior ML Ops, AI platform, and reliability engineers
Hands‑on experience supporting modern AI and agentic architectures
Exposure to production‑grade MCP‑based systems and workflows
A collaborative, engineering‑first culture with strong learning opportunities
Competitive compensation and benefits
Career path growth toward ML Engineer, AI Platform Engineer, or Site Reliability Engineer (SRE)
The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 80,000 - 120,000 USD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits
As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.

US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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