Company Description
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
Job Description
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.
Duties and Responsibilitie:
- Provide technical direction, architectural guidance, and oversight for AI and ML solution development.
Review code, design documents, pipelines, and technical specifications to ensure quality and adherence to best practices. - Stay current on emerging AI technologies, frameworks, and methodologies; evaluate potential application to business needs.
- Establish technical standards, development guidelines, and quality assurance processes for AI development.
- Translate business requirements into technical implementation strategies and scalable architectures.
- Partner with engineering, product, and business leaders to define and execute the organization’s AI strategy.
- Lead development of advanced AI solutions, including:
- API endpoints that serve as secure, scalable gateways to enterprise data.
- LLM tools built using API endpoints and Model Context Protocol (MCP) servers.
- Generative AI applications such as summarization, sentiment analysis, and content generation.
- Agentic AI systems that automate workflows and drive headcount optimization.
- Oversee implementation of applied AI techniques such as prompt engineering, retrieval-augmented generation (RAG), NL2SQL, vector search, embeddings, and fine-tuning.
- Ensure AI solutions are scalable, maintainable, and aligned with business objectives.
- Lead POCs and pilots, validate feasibility, and scale successful models into production.
- Design, train, and deploy machine learning and AI models, including NLP, LLMs, predictive modeling, and generative models.
- Build and optimize data pipelines used for feature extraction, training, and inference.
- Develop and maintain AI services, APIs, and microservices that integrate AI capabilities into enterprise applications.
- Monitor model performance, execute tuning and retraining, and manage the full model lifecycle.
- Document model architecture, training data, feature engineering, and operational processes for consistency and governance.
- Other duties as assigned.
Qualifications
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.
Additional Information
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
Position Type: Regular Full-Time (40 hours per week)
