We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
AI Solutions Developer
Location
United States
Posted
3 days ago
Salary
$90K - $105K / year
No structured requirement data.
Job Description
Role Description
This role offers an exciting opportunity to contribute directly to the development and deployment of AI applications that enhance educational tools and solutions. The AI Solutions Developer will be responsible for coding, testing, integrating, and monitoring AI systems, ensuring accuracy, efficiency, and reliability. Working in a collaborative, agile environment, you will interact with developers, data scientists, and product teams to bring AI features from concept to production. This role balances hands-on technical execution with coordination across teams to support smooth workflows, effective communication, and high-quality delivery. Ideal candidates will have a strong foundation in AI concepts, coding skills, and a keen attention to detail to drive performance and innovation in AI solutions.
- Develop and test AI applications using platforms like ChatGPT, Azure AI, or similar technologies.
- Write clean, efficient, and maintainable code in Python and/or JavaScript.
- Integrate AI features into products and internal systems to enhance functionality and performance.
- Develop scripts and automation tools to optimize AI workflows.
- Execute quality assurance testing, log bugs, and assist in debugging AI systems.
- Monitor AI performance, validate outputs, and ensure reliability and accuracy.
- Create and maintain technical documentation, user guides, and workflow diagrams.
- Support Agile processes by maintaining backlogs, tracking sprint progress, and facilitating communication across teams.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field (equivalent hands-on experience or projects considered).
- Strong understanding of AI concepts, machine learning workflows, and basic model deployment.
- Proficiency in Python and/or JavaScript.
- Familiarity with AI platforms such as ChatGPT, Azure AI, or comparable systems.
- Exposure to Agile methodology and backlog management tools.
- Ability to produce clear technical documentation and workflow diagrams.
- Strong attention to detail and QA skills, with a methodical approach to testing and validation.
Requirements
- Certifications in AI, data science, or cloud technologies.
- Experience with REST APIs, cloud development, and version control (Git).
- Knowledge of data preprocessing, model evaluation, and integration workflows.
- Hands-on AI projects or internship experience.
- Familiarity with database management and AI system integrations.
Core Skills
- Technical problem-solving and debugging.
- Coding proficiency and API usage.
- Strong attention to detail for quality assurance.
- Adaptability to learn new frameworks and tools quickly.
- Effective collaboration with both technical and non-technical teams.
Benefits
- Competitive salary range: $90,000 – $105,000.
- Comprehensive health, dental, and vision coverage.
- 401(k) retirement plan and other voluntary benefits.
- Paid time off and flexible work arrangements.
- Professional development and learning opportunities.
- Exposure to cutting-edge AI technologies and projects with real-world impact.
Job Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field (equivalent hands-on experience or projects considered).
- Strong understanding of AI concepts, machine learning workflows, and basic model deployment.
- Proficiency in Python and/or JavaScript.
- Familiarity with AI platforms such as ChatGPT, Azure AI, or comparable systems.
- Exposure to Agile methodology and backlog management tools.
- Ability to produce clear technical documentation and workflow diagrams.
- Strong attention to detail and QA skills, with a methodical approach to testing and validation.
- Certifications in AI, data science, or cloud technologies.
- Experience with REST APIs, cloud development, and version control (Git).
- Knowledge of data preprocessing, model evaluation, and integration workflows.
- Hands-on AI projects or internship experience.
- Familiarity with database management and AI system integrations.
- Core Skills
- Technical problem-solving and debugging.
- Coding proficiency and API usage.
- Strong attention to detail for quality assurance.
- Adaptability to learn new frameworks and tools quickly.
- Effective collaboration with both technical and non-technical teams.
Benefits
- Competitive salary range: $90,000 – $105,000.
- Comprehensive health, dental, and vision coverage.
- 401(k) retirement plan and other voluntary benefits.
- Paid time off and flexible work arrangements.
- Professional development and learning opportunities.
- Exposure to cutting-edge AI technologies and projects with real-world impact.
Related Guides
Related Job Pages
More AI Engineer Jobs
Senior Software Developer, API
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role is ideal for an experienced software engineer focused on building and optimizing advanced AI systems and APIs. The Senior Software Developer, API will design and implement intelligent agent systems, generative AI models, and Retrieval-Augmented Generation (RAG) pipeline...
AI Implementation Intern / Graduate
Compound Growth MarketingDemand generation consultancy helping high growth companies.
We’re doubling down on Go-To-Market Engineering—the intersection of marketing, automation, and AI-driven systems—to help B2B companies scale smarter. We’re looking for an AI Implementer who can build new or transform existing workflows using AI. You'll be our first dedica...
This foundational role involves architecting, building, and scaling the ScribeIQ™ platform, bridging core software engineering with generative AI and complex healthcare data structures. Key tasks include leading the technical implementation of LLMs and autonomous agents while establishing engineering standards for AI deployment.
The Senior AI Platform Engineer will build and operate core backend services powering AI-enabled workflows, focusing on APIs, orchestration, storage, and secure internal integrations. Responsibilities also include designing scalable data models and registries with strong auditability, and implementing reliability foundations like observability, alerting, and incident response playbooks.
