AI Engineer

At Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place-to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities
Design and implement production-ready applications using LLMs (GPT-4, Claude, Gemini) and other foundation models.

• Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases
• Create multi-agent systems and complex AI workflows using frameworks like Langraph or AWS Strands.
• Integrate multiple AI models (text, vision, audio) to create multimodal applications and work with protocols like MCP and A2A to extend the capabilities of the system.
• Implement guardrails and safety measures to ensure responsible AI deployment.
• Model Development: Design and implement AI/ML models, algorithms, and pipelines.
• Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
• Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.
• Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

• Programming Languages: Python development experience with strong software engineering fundamentals.
• Bachelor's or Master's degree in Computer Science, AI/ML, or equivalent practical experience
• Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, Google, etc.)
• Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.
• Strong knowledge of prompt engineering techniques and in-context learning.
• Experience with vector databases and embedding models for semantic search.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Excellent problem-solving skills and ability to work with ambiguous requirements.
• Strong communication skills to explain complex AI concepts to various stakeholders.
• Security & Compliance: Data anonymization, secure model deployment, bias detection