
AI Systems Architect
1 week ago
We are seeking a skilled professional to design, build, and integrate custom AI agents into our platform.
The ideal candidate will leverage machine learning, NLP, and agent frameworks to create autonomous systems that automate complex staffing tasks and enhance platform intelligence.
This role requires a strong background in AI development, including:
- Proven experience in AI agent development (autonomous systems, RAG architectures, multi-agent workflows).
- Expertise in Python, ML frameworks (TensorFlow/PyTorch), and NLP libraries (spaCy, Hugging Face).
- Platform integration experience: RESTful APIs, cloud services, and CI/CD pipelines.
- Familiarity with recruitment data tools and US staffing workflows.
The successful candidate will have a Bachelor's/Master's degree in Computer Science, Data Science, or related field.
Key ResponsibilitiesDesign and Deploy AI Agents: Create custom AI agents for resume parsing, dynamic candidate-job matching, predictive analytics, and recruitment workflow automation.
Implement NLP-driven Agents: Develop agents to extract, classify, and analyze data from resumes, job descriptions, and communications.
Architect Integrations: Seamlessly integrate AI agents into our platform via APIs and microservices.
Collaborate with Teams: Work with recruiters and product teams to identify agent-driven automation opportunities.
Optimize Agent Performance: Ensure agent performance, scalability, and reliability within cloud environments.
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