Vertex AI Jobs
6 open roles mentioning Vertex AI
Software Engineer, Agent Delivery
Pallet
Pallet is building AI Agents to transform the physical economy, a $12 trillion global industry. We are seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customer teams to understand critical workflows, design integrations, debug production systems, and implement AI-powered solutions in complex environments. You will own deployments from discovery to launch, acting at the intersection of engineering, product, and customer operations, and will spend time with customers both remotely and onsite.
$135k - $180k
Staff Software Engineer- Foundation Model Inference
Databricks
The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.
$190k - $265k
Staff Backend Software Engineer- (Databricks AI)
Databricks
At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. As part of the AI Platform team, you will build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You will be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations, and we are building the infrastructure that powers the next generation of AI.
$166k - $225k
Lead AI Engineer
Egen
As a Lead AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, specifically document intelligence and RAG pipelines, taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.
$159k - $230k
Principal AI Engineer
Egen
Egen is seeking a Principal AI Engineer to set the technical direction for complex Generative AI projects and be hands-on in building them. This role treats AI as a software engineering discipline, focusing on architecting robust production systems and elevating the skills of surrounding engineers. You will tackle challenging problems involving agentic platforms at scale, foundation model work, and AI in regulated environments, taking systems from ambiguous business problems to scalable production services that address real-world constraints like latency, reliability, cost, and governance. You will also serve as the technical lead in client engagements, partnering with leadership to translate business strategy into AI architecture, shape solutions during pre-sales, and build trust.
$219k - $265k
Member of Technical Staff, Cloud Infrastructure
fireworks ai
As a Software Engineer on our Cloud Infrastructure team, you will architect and build the foundational systems powering Fireworks AI's generative AI platform. You will spearhead the creation of a virtual cloud for serving AI workloads globally across all cloud providers, focusing on unparalleled reliability, efficiency, and scalability. This highly technical role requires deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms, involving close collaboration with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity.
$175k - $220k