AI Engineer at Interdecima Systems Ltd

Role Overview

We are seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and AI-powered solutions. This role offers hands-on exposure to modern AI tools and platforms, enabling rapid prototyping, automation, and deployment of intelligent systems. The ideal candidate will bridge the gap between data science and software engineering while leveraging cutting-edge AI ecosystems.

Key Responsibilities

• Design, develop, and deploy machine learning models and AI-driven applications
• Build and maintain scalable data pipelines and model training workflows
• Develop AI-powered automations and integrations using modern AI tools and platforms
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Optimize models and systems for performance, scalability, and production use
• Implement MLOps practices including CI/CD, monitoring, and retraining pipelines
• Evaluate and integrate third-party AI tools and APIs into workflows
• Ensure ethical AI usage, data privacy, and compliance standards
• Stay up to date with emerging AI tools, trends, and best practices
• AI Tools & Platforms Exposure

You will work with and gain hands-on experience using a variety of modern AI and automation tools, including:

• Generative AI & LLM platforms: ElevenLabs, Claude, OpenAI, Google AI Studio
• Development & prototyping tools: Replit, Cursor, Lovable
• Automation & workflow orchestration: n8n
• AI coding assistants: GitHub Copilot
• Emerging/open-source AI tools: OpenClaw (and similar ecosystems)

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (preferred) or similar languages
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of ML algorithms, deep learning, and statistics
• Experience working with APIs and integrating AI services
• Familiarity with software engineering best practices and version control (Git)

Preferred Qualifications

• Experience working with large language models (LLMs) and generative AI
• Familiarity with prompt engineering and AI tool integration
• Experience with cloud platforms (AWS, GCP, Azure)
• Knowledge of MLOps tools and practices
• Experience with automation platforms or low-code/no-code tools
• Background in NLP, computer vision, or AI product development

Key Skills

• Strong problem-solving and analytical thinking
• Ability to quickly learn and adapt to new AI tools and platforms
• Excellent communication and collaboration skills
• Attention to detail and focus on delivering scalable solutions
• Ability to work in fast-paced, experimental environments