Job Requirements

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You Will Do

Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.
Contribute to development of data science and AI strategy.
Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
Support intellectual property development, including publications and patents.
Participate in industry forums, conferences, and technical communities.

Required

Work Experience

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
4+ years of experience in software or related domain.
2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
Working knowledge of Azure based cloud environment and Databricks.
Ability to work independently and deliver end-to-end solutions.
Self-directed learner with strong problem-solving skills and practical business judgment.

Preferred

Master’s degree or higher in a STEM field.
Exposure to drilling, oil & gas, or industrial data environments.
Experience collaborating with cross-functional teams (engineering, product, operations).

Pay range: $100K- $120K

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

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