Job Requirements
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
- Responsible for designing and implementing AI solutions that align with business objectives
- 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 like Pinecone, Weaviate, or Qdrant.
- Implement model fine-tuning pipelines for domain-specific applications using techniques like LoRA and QLoRA.
- Create multi-agent systems and complex AI workflows using frameworks like Langraph or AutoGen.
- Optimize inference performance and manage API costs through intelligent caching and batching strategies
- Build evaluation frameworks to measure model performance, accuracy, and potential biases
- Integrate multiple AI models (text, vision, audio) to create multimodal applications
- Implement guardrails and safety measures to ensure responsible AI deployment
- Collaborate with product teams to translate user needs into AI-powered features
- 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.
- Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.
- Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).
- Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices
- Security & Compliance: Data anonymization, secure model deployment, bias detection
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.
Work Experience
Mandatory Skills:
- Bachelor's or Master's degree in Computer Science, AI/ML, or equivalent practical experience
- 3+ years of Python development experience with strong software engineering fundamentals
- Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, Google, etc.)
- Deep understanding of transformer architectures, attention mechanisms, and model capabilities
- Experience with vector databases and embedding models for semantic search
- Proficiency with ML frameworks (PyTorch, TensorFlow) and Hugging Face ecosystem
- Strong knowledge of prompt engineering techniques and in-context learning
- Experience with MLOps practices including model versioning, monitoring, and deployment
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Understanding of AI safety, alignment, and ethical considerations
- Excellent problem-solving skills and ability to work with ambiguous requirements
- Strong communication skills to explain complex AI concepts to various stakeholders
