Generative AI Engineer

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

- Design and develop enterprise Generative AI and LLM applications.
- Build RAG pipelines using embeddings, vector databases, hybrid search, metadata filtering, and reranking.
- Develop AI agents and agentic workflows using tool and function calling.
- Integrate models such as GPT, Claude, Gemini, or Llama with enterprise applications and data sources.
- Develop production-ready services and APIs using Python and FastAPI or Flask.
- Evaluate solutions for accuracy, groundedness, hallucination, latency, security, and cost.
- Implement guardrails to mitigate prompt injection, unsafe outputs, and data leakage.
- Deploy and monitor GenAI applications on Azure, AWS, or GCP using Docker and CI/CD.
- Collaborate with architects, product teams, and business stakeholders to move use cases from PoC to production

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

Must-Have Skills

- 5+ years of experience in software engineering, AI, or machine learning.
- Strong Python programming, REST API development, and software engineering fundamentals.
- Hands-on experience with LLMs, prompt engineering, RAG, embeddings, and vector search.
- Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
- Experience with Azure AI Search, Pinecone, FAISS, pgvector, Milvus, Weaviate, or equivalent.
- Knowledge of Transformers and NLP fundamentals.
- Experience with Git, Docker, CI/CD, and at least one cloud platform: Azure, AWS, or GCP.
- Understanding of LLM evaluation, Responsible AI, security, and guardrails.

Good-to-Have Skills

- Azure OpenAI and Azure AI services.
- LangGraph, AutoGen, Semantic Kernel, or other agentic AI frameworks.
- Fine-tuning techniques such as LoRA or PEFT.
- RAGAS, DeepEval, promptfoo, MLflow, LangSmith, or OpenTelemetry-based observability.
- Kubernetes and enterprise-data integration with SharePoint, Confluence, ServiceNow, Jira, or relational databases