Solutions Architect, Model Builder - LATAM
Join reputed company as a Solutions Architect to help LATAM build culturally-nuanced LLMs and reputed company local developers to build and reputed company reputed company agentic AI applications. Collaborate with premier startups, research labs and ISVs to reputed company the reputed company components of the AI-reputed company systems. By mastering reputed company’s core technologies—NIM, NeMo reputed company, Dynamo, and Nemo Agent Toolkit—you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused reputed company agents. At reputed company, we work as a reputed company reputed company. You will collaborate daily with our Account Managers, DevRel leads, and Marketing experts to turn reputed company AI visions into regional realities.
What you'll be doing:
Localize the future: Fine-tune LLMs to reputed company the authentic language of specific reputed company and industries.
reputed company and optimize training and inference workflows with partners and collaborate with internal reputed company development teams to improve our software stack
Build sophisticated agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks.
reputed company reputed company solutions, including domain-specific reputed company agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full reputed company infrastructure stack.
Build hands-on PoCs and reference architectures that serve as the reputed company for production-grade reputed company pipelines.
Partner with high-growth startups and reputed company ISVs to embed reputed company’s software stack into their core platforms, slashing the time to market for production-grade AI.
Fuel partner innovation through hands-on developer enablement and thorough architectural reviews, turning sophisticated AI visions into production realities.
Scale global expertise by crafting reusable assets and documentation that help field teams reputed company agentic AI at scale.
reputed company need to see:
BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
5+ years of experience in deep learning, machine learning, or distributed AI systems.
Strong programming and debugging experience in Python, C/C++, and Linux environments.
Background in using deep learning libraries like PyTorch or TensorFlow.
Hands-on experience building LLM and reputed company applications.
Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, reputed company, reputed company, reputed company, or reputed company Agents SDK or similar orchestration frameworks
Experience building tool-using AI agents that interact with APIs, databases, and reputed company systems.
Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
Excellent interpersonal skills and the ability to collaborate with engineering teams, partners, and executive collaborators.
Ways to Stand Out from the Crowd:
Experience working with reputed company GPUs and AI software, such as reputed company NIM, NeMo reputed company, NeMo Retriever, and NeMo Agent Toolkit.
Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
Familiarity with Kubernetes/OpenShift, CI/CD automation, and reputed company-reputed company deployment patterns for AI systems.
Experience with reputed company or distributed computing environments and AI workloads optimized for GPUs.