Member of Technical Staff

G Forty Two General Trading LLC

3d•Hybrid

About The Position

G42 is seeking a highly accomplished Member of Technical Staff to join its U.S. engineering organization and help shape large-scale AI infrastructure, agentic systems, and enterprise AI platforms. This hands-on technical leadership role involves designing, building, and scaling production-grade AI systems, drawing on expertise in LLMs, RAG, multi-agent architectures, and cloud-native engineering. The role spans strategic initiatives including GPUaaS, Token Factory, Agentic Compute, AI Foundries, and enterprise AI platforms. The successful candidate will drive AI platform architecture and development, build advanced agentic systems, architect cloud and infrastructure solutions, provide technical leadership, and advance innovation from experimentation through production deployment.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
15+ years of software engineering experience, with a strong record of delivering enterprise-scale platforms and solutions.
Deep expertise in LLMs, RAG architectures, multi-agent systems, prompt engineering, model orchestration, and AI evaluation frameworks.
Strong programming expertise in Python and/or C#.
Experience building production AI solutions using modern AI frameworks and toolchains.
Hands-on experience with cloud-native platforms and distributed systems.
Expertise with Azure services such as Kubernetes, AI Search, Cosmos DB, API Management, and AI platform services.
Proven ability to lead complex technical initiatives from architecture through production deployment.
Strong communication skills and ability to influence senior technical and business stakeholders.

Responsibilities

Design and build scalable AI platforms using LLMs, RAG architectures, agentic workflows, and enterprise knowledge systems.
Develop production-ready AI solutions across distributed and cloud-native environments.
Architect high-performance AI services for model hosting, inference optimization, evaluation, and orchestration.
Set technical direction for GPU infrastructure utilization, token-based AI services, and AI platform capabilities.
Design and implement multi-agent systems for reasoning, delegation, planning, and orchestration.
Develop agent frameworks for enterprise-scale autonomous workflows.
Create evaluation frameworks to measure model performance, reliability, safety, and business outcomes.
Collaborate with product and research teams to translate AI innovations into production capabilities.
Architect and deploy large-scale AI solutions on Azure and cloud-native platforms.
Build resilient AI pipelines using Kubernetes, APIs, vector databases, AI search, document intelligence, and distributed data services.
Optimize AI workload performance, scalability, security, and operational excellence.
Contribute to platform standards, reusable engineering frameworks, and reference architectures.
Provide technical leadership across cross-functional engineering initiatives.
Mentor engineers through design reviews, architecture guidance, coding best practices, and technical problem-solving.
Influence engineering strategy while remaining hands-on in design and implementation.
Establish best practices for AI development, model evaluation, deployment, and platform governance.
Experiment with emerging AI technologies, foundation models, agent frameworks, and AI infrastructure services.
Contribute to technical publications, whitepapers, open-source initiatives, and developer communities.
Represent G42 in technical discussions with customers, partners, and industry stakeholders.
Identify opportunities to enhance G42's AI platform capabilities and accelerate adoption of innovative technologies.