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Trainee Ai Software Engineer Jobs (NOW HIRING)

Diverse Lynx

AI Software Engineer

Trenton, NJ · On-site

AI Software Engineer We are looking for an AI Software Developer to join our Platform Development team--someone who is not just keeping up with the AI revolution but genuinely excited by it. This is ...

Cayuse Holdings

AI Software Engineer, Senior

Cedar Park, TX · On-site +1

$116K - $166K/yr

AI Software Developer, Senior CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Austin, TX SALARY: $116,480.00-$166,400.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment ...

Digital Links Inc

AI Software Engineer

Glen Allen, VA · Remote

AI Software Engineer (AI-Driven Development Focus) Job Type: Location: Remote (U.S.-based preferred) Clearance: Public Trust (Required / Must be eligible) Position Overview: We are seeking highly ...

Diverse Lynx

AI Software Engineer

Hamilton, NJ

Job Role- AI Software Engineer Job Location - HAMILTON NJ (Need to come to office 3 Days a week - F2F Round of Interview is Mandate for Final round) Job Type - Fulltime (Day 1 Onsite) Salary Range ...

Gallatin AI, Inc

AI Software Engineer

El Segundo, CA · On-site

$80K - $210K/yr

About the Role We're looking for an AI/ML Software Engineer to play a foundational role in developing and deploying AI-powered solutions for our core product. You'll work across the full AI/ML ...

1 point system

AI Software Engineer

El Segundo, CA · On-site

$130K - $172K/yr

We are looking for two Senior Software Engineers who are truly AI-first--engineers with strong software architecture fundamentals who know how to effectively use modern AI tools (LLMs, RAG, agentic ...

UJET

AI Software Engineer

Los Angeles, CA · On-site +1

$150K - $165K/yr

Opportunity: We're looking for a AI Software Engineer to help build the next generation of UJET's AI products: Spiral and AXO . This is a high-impact role for someone who thrives in ambiguity, enjoys ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

AI Software Engineer Miami (Hybrid) About our crew Boats Group is the leading digital marketplace in the recreational boating industry, connecting millions of buyers and sellers around the world. Our ...

Elite Connect

Software Engineer - AI

Passaic, NJ · On-site +1

AI Software Engineer (Healthcare Data & Platforms) We are a growing nursing home organization looking for an AI Software Engineer with experience building internal AI-driven platforms. This role ...

Axelon

AI Software Engineer

Tulsa, OK · On-site

$101.43/hr

Leverages generative AI concepts, prompt engineering, AI-assisted development, and ethical AI ... Deep understanding of the software development lifecycle and methodologies * Experience designing ...

Motoman

AI Software Engineer

Miamisburg, OH · On-site

This role utilizes strong software engineering combined with AI/ML development experience to create AI/ML applications which expand robot deployment opportunities. ESSENTIAL DUTIES AND ...

webAI Inc

AI Software Engineer

Austin, TX · On-site

The webAI Intelligence Lab (WIL) is looking for an AI Software Engineer with deep expertise in high-performance computing and machine learning inference. The AI Engineer is the "builder" who makes ...

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Trainee Ai Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do trainee ai software engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for trainee ai software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Ai Software Engineer vs Junior Ai Developer?

AspectTrainee Ai Software EngineerJunior Ai Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldEntry-level, often with a degree or equivalent experience
Work EnvironmentTraining programs, mentorship, supervised projectsReal-world projects, team collaboration, task execution
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

The main difference is that a Trainee Ai Software Engineer is in a learning or training phase, focusing on gaining skills under supervision, while a Junior Ai Developer has more hands-on experience and is responsible for developing AI solutions independently within a team.

What are the key skills and qualifications needed to thrive as a Trainee AI Software Engineer, and why are they important?

To thrive as a Trainee AI Software Engineer, you need a solid understanding of programming languages (such as Python or Java), foundational knowledge of algorithms, data structures, and basic principles of machine learning, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks and tools like TensorFlow, PyTorch, and version control systems such as Git is highly beneficial. Strong analytical thinking, problem-solving ability, and a willingness to learn help you adapt quickly and collaborate effectively on technical teams. These skills and qualities are crucial for successfully contributing to AI development projects and keeping pace with rapidly evolving technology.

What does a Trainee AI Software Engineer do?

A Trainee AI Software Engineer is an entry-level professional who assists in designing, developing, and testing artificial intelligence models and applications. They often work under the supervision of senior engineers, learning to implement machine learning algorithms, process data, and contribute to AI projects. This role is ideal for those looking to gain practical experience while building a foundation in AI concepts and software engineering practices. Trainees also collaborate with other team members, participate in code reviews, and may assist in research or prototyping new AI solutions.

What are some common challenges faced by Trainee AI Software Engineers, and how can they be addressed?

Trainee AI Software Engineers often encounter challenges such as understanding complex machine learning algorithms, adapting to rapidly evolving technologies, and bridging the gap between theoretical knowledge and practical implementation. To address these, it's helpful to actively seek mentorship from senior engineers, participate in code reviews, and dedicate time to hands-on projects or Kaggle competitions. Additionally, regularly collaborating with data scientists and software development teams can accelerate your learning and help you gain practical insights into real-world AI applications.
What cities are hiring for Trainee Ai Software Engineer jobs? Cities with the most Trainee Ai Software Engineer job openings:
What are the most commonly searched types of Ai Software Engineer jobs? The most popular types of Ai Software Engineer jobs are:
What states have the most Trainee Ai Software Engineer jobs? States with the most job openings for Trainee Ai Software Engineer jobs include:
Trainee Ai Software Engineer jobs near you

AI Software Engineer

Success Academy Charter Schools

New York, NY • On-site

Full-time

Posted yesterday

Success Academy rating

4.9

Company rating: 4.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

505th of 552 rated elementary and secondary schools

Job description

Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential.
As the fastest growing, highest-performing charter school network in New York State, Success Academy is reimagining K-12 public education. Nationally recognized for our innovative, whole-child school model and outstanding academic results, Success Academy educators are empowering children from all backgrounds with the knowledge, skills, and self-belief to succeed in college and in life. We now need a results-driven AI Software Engineer/ Integration Specialist to join our AI Enablement team.
Department
The Technology Division at Success Academy is the chief provider of technology infrastructure, application services, security, and support. The Division partners with teams across the organization to equip students, teachers, leaders, and staff with the innovative technology tools and know-how necessary to achieve academic and operational excellence.
We are looking for an AI Software Engineer to play a critical role in connecting AI tools with school systems. This role ensures that AI-powered solutions seamlessly integrate with existing School Information Systems (SIS), Learning Management Systems (LMS), and other educational technologies.
The ideal candidate has a strong background in software integration, API development, automation, and cloud-based solutions. They should be comfortable working with education technology platforms while designing scalable, automated workflows to enhance school operations using AI.
Requirements:
  • 4+ years of experience in software integration, API development, or automation engineering.
  • Experience working with SIS, LMS, and education technology platforms.
  • Strong proficiency in API development, automation workflows, and event-driven architectures.
  • Knowledge of cloud-native integration tools in AWS, GCP, or Azure.
  • Excellent problem-solving skills and an automation-first mindset.
  • Strong ability to collaborate with AI, cloud, and data engineering teams to create scalable AI-driven solutions.
  • Familiarity with LLMs and AI-powered automation is a plus.

Responsibilities:
  • Design and implement integrations between AI models and school systems (SIS, LMS, student data platforms, and assessment tools).
  • Work with common SIS & LMS platforms such as PowerSchool, Infinite Campus, Blackbaud, Canvas, Moodle, Google Classroom, and Microsoft Teams for Education.
  • Develop middleware, APIs, and automation scripts to enable AI-enhanced workflows for grading, student engagement analysis, and predictive insights.
  • Build, deploy, and manage RESTful APIs, GraphQL APIs, and Webhooks to enable seamless communication between AI and school infrastructure.
  • Automate data extraction, transformation, and synchronization between systems using ETL pipelines and API-driven workflows.
  • Develop integrations with LLM-based AI assistants, chatbots, and recommendation engines to enhance learning experiences.
  • Leverage low-code and no-code automation tools where applicable for rapid deployment of solutions.
  • Ensure real-time data flow between AI tools and student management systems using Pub/Sub, Kafka, or event-driven architectures.
  • Implement secure authentication and authorization protocols (OAuth 2.0, SAML, JWT) to protect student and faculty data.
  • Ensure compliance with FERPA and other education data privacy regulations.
  • Work with identity and access management (IAM) solutions to control AI system permissions.
  • Work closely with AI teams, data engineers, and DevOps to deploy integrations in AWS and GCP.
  • Develop serverless functions (AWS Lambda, Google Cloud Functions, Azure Functions) for lightweight, scalable automation.
  • Implement event-driven architectures using Step Functions, Pub/Sub, and Webhooks.
  • Collaborate with educators and administrators to define integration requirements and automation opportunities.

Technical Stack & Tools:
Integration & API Development:
  • RESTful APIs, GraphQL, gRPC
  • OAuth 2.0, JWT, SAML, OpenID Connect
  • Postman, Swagger (OpenAPI), API Gateway

Cloud & Infrastructure:
  • AWS (Lambda, Step Functions, API Gateway, EventBridge, S3, DynamoDB)
  • GCP (Cloud Functions, Pub/Sub, Firestore, BigQuery)
  • Azure (Azure Functions, Event Grid, Cosmos DB)

Automation & Data Pipelines:
  • Python, Node.js, FastAPI, Flask, Express.js
  • ETL tools (Talend, dbt)
  • Messaging & Streaming: Kafka, RabbitMQ, Redis Pub/Sub

Security & Compliance:
  • IAM & Role-Based Access Control (RBAC)
  • Data encryption, secure API access
  • Compliance with FERPA

Exact compensation may vary based on skills and experience. This position is not bonus eligible.
Compensation Range
$180,000-$200,000 USD
Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth.
Privacy Policy:
By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our Privacy Policy.
We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth.
Success Academy Charter Schools does not offer employment-based immigration sponsorship.

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