AI Integration Engineer
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Salary
≈ $43k – $114k per year (Estimated)
Location
Remote (Pakistan)
Overview
Company
Impact
Profile match
Creative Chaos is a software development and technology services firm that builds custom applications and mobile products and now sells AI automation projects to startups and enterprises, with its headquarters listed in San Francisco and Boston. Operating since 2000 with a global delivery network of more than 300 full-time staff, it reports long-running engagements with clients such as McDonald's, Coca-Cola, Foxtons and Qlik. Its openings are mostly for senior and principal software engineers in React, Node, Python, Java, .NET, Ruby on Rails and Vue, along with DevOps engineers, iOS and Unity developers and technical delivery managers.
Job Summary:
Creative Chaos is seeking an AI Integration Engineer to join our team. In this role, you will be responsible for integrating AI models and technologies into existing systems and workflows to enhance business capabilities and product performance. You will work closely with AI research, development teams, and product managers to deliver scalable and robust AI-powered solutions.
Key Responsibilities:
- Integrate AI and machine learning models into production environments and business applications.
- Collaborate with data scientists, software engineers, and product teams to design integration strategies.
- Develop APIs, middleware, and interfaces to enable seamless AI model deployment and usage.
- Ensure the scalability, reliability, and performance of AI integrations in real-world applications.
- Monitor and troubleshoot AI system performance, identifying and resolving integration issues.
- Optimize AI workflows and data pipelines to improve efficiency and accuracy.
- Maintain documentation related to integration processes, architectures, and configurations.
- Stay updated with emerging AI technologies and recommend new integration approaches.
- Support the deployment and maintenance of AI-based solutions across various platforms.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- 3+ years of experience in integrating AI/ML models into production systems.
- Strong programming skills in Python, Java, or similar languages.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with API development, RESTful services, and microservices architecture.
- Knowledge of cloud platforms and deployment tools (AWS, Azure, Google Cloud).
- Understanding of data pipelines, ETL processes, and data engineering concepts.
- Ability to troubleshoot and optimize AI integration performance.
- Excellent communication and collaboration skills.
- Proactive attitude towards learning new technologies and continuous improvement.
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