tool use Jobs

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role operates with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will own outcomes end-to-end, from identifying high-value customer problems and shaping architecture to building production systems and collaborating directly with senior client leaders. This is an intellectually challenging role focused on developing generative AI solutions that drive measurable impact and ROI within large institutions.

$200k - $250k

We are seeking a Senior Scientist to spearhead research in advancing AI models and agents specifically for cybersecurity applications. This role involves enhancing capabilities like security reasoning, code and system understanding, planning, tool use, and long-horizon investigation, with the goal of applying these to critical security challenges. The ideal candidate will drive progress in underlying models, agent architectures, data strategies, training methodologies, and evaluation techniques, while also addressing the unique demands of real-world security environments such as high precision, robustness against adversaries, explainability, and privacy. This position offers a unique opportunity to shape research direction, influence future platforms, and translate foundational AI advancements into practical cybersecurity tools and workflows in collaboration with cross-functional teams.

$224k - $431k

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Anthropic

Anthropic is building AI systems that are safe, beneficial, and transformative, with the mission to develop AI that benefits humanity. This role focuses on applying Claude to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. The team builds the necessary software, including agent harnesses, integrations, evaluations, and working processes, to turn a partner's problem into something Claude can make progress on and validate. This is an engineering role where you will work closely with domain experts, become proficient in using Claude for their specific fields, and prototype quickly. The primary focus is on building and hardening systems to make this work repeatable, rather than just configuring existing products. A science or engineering background is beneficial, but the ability to earn the trust of expert researchers, translate fuzzy problems into concrete and verifiable tasks, and ship solutions is paramount.

$405k - $485k

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.

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k