ai engineer

PeopleCert is seeking an AI Engineer who will design, build, evaluate, and produce AI-powered solutions across our platforms. You will focus on applied AI innovation: using LLMs, retrieval systems, classical ML, and automation pipelines to deliver real-world value for learners, partners, exam operations, and internal teams.

As an AI Engineer your tasks will include the following:

• Design, develop, fine-tune, and evaluate AI, ML, and generative AI models for enterprise and product use cases.

• Build AI-powered applications, APIs, and automation pipelines using Python and modern AI engineering practices.

• Develop experimentation and evaluation workflows for prompts, models, retrieval quality, benchmarking, and production performance.

• Collaborate with Data Engineers and business stakeholders to prepare, validate, and manage high-quality datasets.

• Work closely with MLOps / platform teams to deploy, monitor, and maintain AI solutions in production.

What we look for:

• Bachelor’s Degree in STEM, Computer Science, Engineering, or a related field; a Master’s degree or higher will be considered a plus.

• 2+ years of hands-on experience building AI, ML, or data-driven solutions and taking them from prototype to usable applications, APIs, or production workflows.

• Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, FastAPI, and Streamlit.

• Hands-on expertise with foundation models, LLMs, transformers, embeddings, RAG, and multimodal AI.

• Familiarity with cloud AI platforms and services, such as Azure OpenAI, Azure AI Search, Azure ML, or Azure Cognitive Services.

• Excellent knowledge of English. C2 level certification is desired; LanguageCert C2 LTE or C2 IESOL certificate would be a plus. Extra languages desired.

• Advanced computer literacy is required. ECDL Advanced level certification is desirable.

• Problem-solving mindset with ability to align technical solutions to business needs.

Nice-to-Have:

• Familiarity with API design best practices, including authentication, versioning, validation, documentation, error handling, and monitoring.

• Experience with retrieval-augmented generation, hybrid search, semantic ranking, or vector databases.

• Familiarity with cloud deployment, CI/CD workflows, Docker, Kubernetes, or serverless architectures.

• Understanding of prompt engineering and LLM evaluation techniques will be considered a plus.

What we offer:

• Competitive Compensation: An attractive remuneration package commensurate with experience and expertise.

• Global Impact: A unique opportunity to contribute to a global leader in education technology, with exposure to diverse markets and cultures.

• Professional Growth: Continuous personal and professional development opportunities within a global, innovative, and collaborative environment.

• Perks: Access to exclusive certifications and professional development resources, along with a dynamic and inclusive workplace culture