AI Engineer

Are you ready to accelerate your career? Join Cielo as an AI Engineer! A career at Cielo will give you the opportunity to work with the industry’s smartest people and to take ownership of your success!  

Cielo is a brand that reflects our big idea – that talent is rising – and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.

Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Accelerators™. With our fresh approach – we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.

Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at [email protected]

The AI Engineer is responsible for designing, building, and deploying AI and machine learning solutions that enhance Cielo’s products, analytics capabilities, and automation strategy. This role leads the development of scalable AI models, integrates advanced techniques such as LLMs and RAG, and partners across Product, Innovation, Technology, and Data Engineering to support enterprise-wide AI adoption. The AI Engineer provides technical leadership, contributes to AI strategy execution, and ensures that AI solutions are performant, secure, compliant, and aligned with business objectives.

• Design, develop, and deploy Generative AI, Agentic AI, or AI/ML models focused on talent acquisition use cases such as candidate matching, skill assessment, and recruitment forecasting
• Assess the effectiveness and accuracy of AI/ML models through rigorous testing, validation, and performance metrics analysis
• Identify new data sources and features that could enhance the quality and accuracy of AI/ML models to improve predictions and recommendations
• Perform data engineering tasks to source data from internal operational systems, client Applicant Tracking Systems, and 3rd-party vendors through APIs, direct database connections, and data exports
• Apply statistics, machine learning, and advanced analytic approaches to predict and optimize business outcomes in the talent acquisition space
• Build and maintain data pipelines using AWS services to ensure reliable data flow for AI/ML models
• Develop and optimize REST and SOAP APIs for internal and external consumption
• Implement and fine-tune large language models (LLMs) for specific talent acquisition tasks such as resume parsing, job description analysis, and candidate communication
• Create agentic AI systems that can autonomously perform recruitment tasks and assist human recruiters
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Document AI/ML models, data pipelines, and system architectures for knowledge sharing and maintenance
• Stay current with emerging AI technologies and methodologies to continuously improve our talent acquisition capabilities
• Work with business partners to translate their processes, rules, and requirements into actionable objectives.
• Apply statistics, machine learning, and advanced analytic approaches to predict and optimize business outcomes.

Position Requirements

Education:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field required.
• Master’s degree preferred.

Experience:

• 3–5+ years of hands-on experience developing and deploying ML/AI models in production.
• Experience with LLMs, NLP, generative AI, and model integration using APIs.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, and scikit-learn.
• Experience with RAG pipelines, embeddings, vector databases, and prompt engineering.
• Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• Strong SQL skills and experience working with structured and unstructured data.
• Familiarity with MLOps practices preferred, including CI/CD for ML, model monitoring, and feature stores.

Exposure:

• Understanding of responsible AI frameworks, bias detection, and model governance.
• Experience with data engineering concepts and ETL/ELT workflows.
• Ability to communicate complex AI concepts clearly to technical and non-technical audiences.
• Proficiency in Word, Excel, PowerPoint, Visio, Outlook, and related tools.

Cielo is the world’s leading strategic Recruitment Process Outsourcing (RPO) partner. The industry has verified Cielo’s reputation for executing innovative solutions that provide business impact through numerous awards and recognitions, including its annual leadership position on the HRO Today RPO Baker’s Dozen listing, Peak Matrix Leader placement by Everest Group and Industry Leader designation by NelsonHall.

 Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at [email protected]