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Remote and AI developer title increase applicant density despite specialized LLM integration needs.
LLM and HR integration expertise favors AI/HR backgrounds, though core engineering skills remain transferable.
Many mandatory technical skills, LLM platform experience, and integration expertise drive strict candidate filtering.
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Develop, test, and deploy AI-powered HR applications and integrations using IBM watsonx and other AI/ML frameworks focused on HR domains like talent acquisition, workforce analytics, and employee engagement.
Build and maintain workflows, APIs, and microservices connecting HR platforms such as Workday and ServiceNow, including RAG pipelines and LLM application debugging tools.
Collaborate with HR stakeholders and engineering teams to translate requirements into high-quality AI solutions; monitor, tune, and ensure reliability, security, and compliance of AI models and services.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML or related field.
Proven experience delivering AI solutions integrated with enterprise HR or related systems (e.g., HRIS, CRM, ERP).
Strong software engineering skills in Python, SQL, JavaScript (Node.js, React) and cloud development (AWS, Azure, or GCP).
Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, scikit-learn), LLM platforms (IBM watsonx, OpenAI), and relevant AI integration techniques (RAG, prompt engineering, API security).
Experienced in building and operationalizing AI applications in complex HR technology environments with multiple enterprise SaaS platforms.
Comfortable working on both backend and frontend components with strong software engineering discipline and observability practices for AI systems.
Able to bridge technical and non-technical teams by translating AI use cases into practical implementations aligned with business goals and ethical AI standards.