×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Software Development, AI Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: PowerSchool Group LLC
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 92800 - 170300 USD Yearly USD 92800.00 170300.00 YEAR
Job Description & How to Apply Below
Position: 2026-52749

At Power School, we are a dedicated team of innovators guided by our shared purpose of powering personalized education for students around the world. From the central office to the classroom to the home, Power School supports the entire educational ecosystem as the global leader of cloud-based software for K-12 education. Our employees make it all possible, and a career with us means you’re joining a successful team committed to engaging, empowering, and improving the K-12 education experience everywhere.

Team

Overview

Our Research & Development (R&D) team is the technical talent at the heart of our product suite, overseeing the product development lifecycle from concept to delivery. From engineering to quality assurance to data science, the R&D team ensures our customers seamlessly use our products and can depend on their consistency.

Description
  • Lead architecture and design for a new multi-tenant reporting platform built on AWS
    serverless technologies.
  • Provide hands-on development using Python, Type Script, SQL, and AWS services including
    Lambda, Step Functions, API Gateway and others.
  • Develop AI-driven pipelines that extract, translate, and validate business logic and report
    parameter screens from the legacy platform.
  • Define coding standards, best practices, and development patterns across the engineering
    team.
  • Mentor senior and mid-level engineers; conduct design and code reviews.
  • Partner with Product, Data, QA, and Architecture teams to align technical and business
    requirements.
  • Design, develop, test, deploy, and support AI software components including Agent Orchestration, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultra clusters, Huggingface, Vector

    DBs, Nemo Guardrails, PyTorch, and more.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
  • Ensure platform scalability, security, tenant isolation, and operational excellence.
Minimum Qualifications
  • Extensive experience with AWS serverless architectures.
  • Expert-level proficiency in Python and Type Script.
  • Strong SQL background;
    Snowflake experience is a plus.
  • Demonstrated experience building or integrating AI-driven systems (LLMs, embeddings, AI
    agents, transformation pipelines).
  • Solid experience with distributed systems, data pipelines, or modernizing legacy platforms.
  • Proven leadership in technical strategy and mentoring.
  • Experience designing or operating multi-tenant platforms.
  • Strong knowledge of ETL/ELT architecture patterns.
  • Prior experience with AI for code generation, metadata extraction, or workflow automation.
  • Strong documentation, communication, and stakeholder-management skills.
Preferred Qualifications
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search, Agents and Vector

    DBs, Guardrails, Memory) using Python, Typescript, React
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Compensation & Benefits

Power School offers the following benefits:

  • Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
  • Flexible Spending Accounts and Health Savings Accounts
  • Short-Term Disability and Long-Term Disability
  • Comprehensive 401(k) plan
  • Generous Parental Leave
  • Unrestricted paid time off (known as Discretionary Time Off - DTO)
  • Wellness Program, including Class Pass & Employee Assistance Program
  • Tuition Reimbursement
  • Optional Benefits:
    Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage

A reasonable estimate of the base compensation range for this position is $92,800 - $170,300 USD. This compensation range is specific to the United States and it incorporates many factors including but not limited to an applicant's skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.

EEO Commitment

Power School is committed to a diverse and inclusive workplace. Power School is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Power Schoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work.

If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary