Associate Software Engineer - Dallas, TX

Company: Msccn
Location: Dallas
Posted on: April 2, 2026

Job Description:

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers . If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post. Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. 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.

Keywords: Msccn, Allen , Associate Software Engineer - Dallas, TX, IT / Software / Systems , Dallas, Texas