AI Engineer

About the role

We are seeking an AI Engineer to design, build and deploy AI‑powered applications such as chatbots, intelligent assistants and automation workflows. You will work in an agile, fast‑moving team that combines data, AI and solution architecture to turn real business problems into production‑ready solutions.

Key responsibilities

• Design, develop, test and deploy AI‑driven applications and automation workflows, including NLP‑based chatbots and intelligent assistants.
• Build solutions using large language models, prompt engineering and retrieval‑augmented generation to address business needs.
• Integrate AI features with existing platforms, APIs, databases and enterprise systems.
• Prepare, clean and structure data from multiple sources for model training and evaluation.
• Prototype quickly, validate use cases with stakeholders and transition successful pilots into production.
• Monitor solution performance (accuracy, latency, user feedback) and continuously improve quality.
• Document architecture, prompts, workflows and technical decisions.

Required profile

• Bachelor’s degree in Computer Science, Data Science, AI or a related field.
• 1–3 years of hands‑on experience in AI/ML development, data science or software engineering.
• Strong analytical and problem‑solving abilities with the capacity to work independently in a fast‑paced environment.
• Clear communication skills for explaining technical concepts to non‑technical stakeholders.

Required skills

• Python (mandatory)
• R or similar language (optional)
• NLP frameworks and chatbot development tools
• Machine learning libraries (e.g., TensorFlow, PyTorch, scikit‑learn)
• Large Language Models, prompt engineering and Retrieval‑Augmented Generation
• Vector databases
• APIs and SQL databases
• Cloud AI/ML services (AWS, Azure or similar)
• Data cleaning, preparation and model evaluation

What we offer

• Agile, fast‑moving environment alongside skilled data, AI and solution architecture professionals.
• Opportunities to prototype, experiment and grow into advanced AI engineering roles.
• Exposure to real‑world AI projects and production deployments.