REST Jobs

We are seeking an experienced Senior ServiceNow Platform Engineer to design, build, and operate enterprise-grade ServiceNow capabilities that support critical business operations. You will own platform stability, configuration, and optimization while driving strategic initiatives in automation, Agentic AI, and knowledge management. You will provide technical leadership and governance, manage the team's Agile backlog and ticket queue, write SOPs, and present platform metrics to IT management weekly.

$142k - $204k

As a Senior Software Engineer, you will be responsible for ensuring Cresta's AI Agents are supported by the most reliable and scalable server solutions. This involves designing and maintaining the server architecture to handle high-volume, real-world interactions with a focus on high availability and performance. While the role emphasizes server optimization and data management over pure research, you will work with advanced cloud and server technologies. This is a significant opportunity to influence the future of AI at Cresta by tackling complex challenges and deploying cutting-edge AI advancements into production.

$205k - $270k

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Taktile is seeking a Data Engineer (AI Enablement) to join their rapidly growing team, empowering financial institutions to become AI-native. As the first dedicated Data Engineer for AI Enablement, you will be responsible for building internal tools, agents, and integrations to enhance team efficiency. This role involves end-to-end project ownership, collaborating with leads across Engineering, GTM, and Ops to identify and scale high-impact workflows. You will embed across various departments to pinpoint areas where AI can reduce operational friction, drive adoption through workshops and support, and partner with Security and IT to ensure data protection.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will operate across our inference APIs, model integration layer, request-routing services, and the Cerebras inference platform to ensure a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, enabling new model architectures and inference capabilities while defining stable user-facing behavior and ensuring features like streaming, sampling, tool use, structured outputs, and multimodal inputs function correctly in production.

Databricks

Databricks is transforming how it builds and operates People Technology, moving from traditional SaaS configuration toward an AI-native, agentic stack. You will be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

$192k - $260k

NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. This role is at the forefront of AI-augmented engineering, utilizing AI-assisted tools and automation to accelerate development and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity to support AI application development.

$248k - $391k

Code Metal is seeking a Staff Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive a next-generation wargaming and decision-support platform. You will design backend services and APIs, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with AI and machine learning pipelines, designing scenario-generation and analysis workflows, and building distributed, cloud-scale infrastructure to support simulations across various environments while ensuring reproducibility and model provenance. Strong command of cloud services and distributed architectures is essential.

$200k - $250k

Code Metal is seeking a Principal Python Engineer to join their Modeling & Simulation team. This role will focus on building the Python services, pipelines, and tooling that drive the core wargaming simulation for a next-generation decision-support platform. You will design backend services and APIs that interface with the frontend, integrate with simulators, manage data, and expose results to analysts and government stakeholders. The position involves developing backend infrastructure that interfaces with agentic AI and machine learning pipelines, designing scenario-generation and campaign-evaluation workflows, and building distributed, cloud-scale infrastructure for running simulations. Strong command of cloud services and distributed architectures is essential.

$250k - $290k