GenAI Developer

Company Description Arsec is a product-driven technology company focused on building smart, scalable, automation-first software solutions for modern businesses. The company develops tools that streamline hiring, communication, operations, and workforce management, including ATS platforms, mass mailing solutions, email extraction tools, custom software, and payroll systems. Arsec’s products help organizations automate processes, reduce manual effort, and make data-driven decisions while maintaining high standards of flexibility, security, and performance. Serving startups, enterprises, and growing teams across industries, Arsec combines innovation with reliability to enable businesses to scale smarter and simplify complex workflows.
Role Description The GenAI Developer role is a remote contract position responsible for designing, implementing, and optimizing AI-driven features within Arsec’s product suite. Day-to-day tasks include building and integrating generative AI models into existing systems, developing APIs and back-end services that support AI functionality, and collaborating with product and engineering teams to translate business requirements into technical solutions. The GenAI Developer will prototype and test new AI capabilities, refine model performance based on user feedback and analytics, and ensure reliable, secure deployment in production environments. The role also involves writing clean, maintainable code, documenting solutions, and staying current with industry best practices in AI, software development, and automation tools.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and software architecture.
Practical experience in Software Development and Programming, with proficiency in one or more modern languages (e.g., Python, Java, JavaScript, or similar).
Hands-on experience in Back-End Web Development, including RESTful APIs, microservices, and integration with databases or external services.
Solid understanding of Object-Oriented Programming (OOP) principles and best practices in code quality, testing, and maintainability.
Experience working with generative AI frameworks or LLMs (e.g., OpenAI, Hugging Face, or similar), and familiarity with model integration and prompt engineering.
Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) and DevOps practices for deploying and monitoring AI services is beneficial.
Ability to work independently in a remote environment, communicate clearly with cross-functional teams, and manage time effectively.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Work arrangement
Yes