Tool Install Engineer Jobs

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity. Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excell

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. THE MISSION We are seeking a Staff Research Scientist to serve as a technical pillar within our AI research organization. You will not just execute on roadmaps—you will define them. At the intersection of autonomous agents and large language models (LLMs) , you will build the models and systems that turn enterprise data into self-directed, decision-making agents —shifting from passive data access to autonomous execution. Our team operates at the frontier of enterprise AI, delivering both state-of-the-art models and production systems , including: Arctic LLM : Enterprise foundation models optimized for performance and efficiency Arctic-Text2SQL : Post-trained reasoning models with frontier-level quality at a fraction of cost and latency Snowflake Intelligence : Brought research to production through agentic innovations in multi-step reasoning, Deep Research for structured and unstructured insights, and system optimization Arctic Inference : High-performance LLM serving stack (Shift Parallelism, SwiftKV), open-sourced and powering Snowflake Cortex Arctic Long-Context Training : Enables 1M+ token context training on a single H200 GPU Agent World Models (AWM) : RL training across 1,000+ synthetic environments for tool-using agents We focus on core challenges such as reliable re

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. Develop systems for agent orchestration across multi-step, tool-using workflows. Build infrastructure for running, testing, and debugging code generated by models. Create state and memory systems that allow agents to persist context across long-running tasks. Optimize tokens, latency, reliability, and cost across Codex’s production fleet. Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. Yo

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the team We, the Marketing Tech team, are looking for a passionate and driven Golang/Python Backend Software Engineer. We are a product-focused team that emphasizes enabling the scaling and efficiency of campaigns and marketing efforts both inside and outside of Wolt. The MarTech team is currently building internal services around marketing and consent use-cases to allow our marketing stakeholders to drive marketing campaigns in and out of the app, and ensure we provide and maintain a compliant experience throughout the whole process. We empower marketing with the tools to fully set up and run their campaigns independently so as not to be blocked by product or engineering. In our team, you can expect to face many different types of projects across the realm of acquiring users and keeping them engaged. You’ll work on both maintaining and expanding existing services, as well as planning and designing new ones. Our project types vary a lot, from services used in the core Wolt flow, services for automation or to enable our Marketing teams, ETL jobs, as well as streaming processing workers. Some examples of projects include our in-house built: Audience management tool in Golang Marketing attribution powered by Spark Consents management platform in Golang Bi

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the backend systems that make Hark's AI agent actually work — reliable, fast, and production-grade. That means the hard infrastructure problems: high-concurrency services, low-latency streaming, state management for long-running agent workflows, and the execution layer that connects model outputs to real-world actions. You are building the nervous system of an agentic product. This is a high-ownership role on a small team. You'll work directly with model researchers and platform engineers, and the systems you build will determine whether Hark feels like a slow chatbot or something genuinely new. Responsibilities Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming. Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows. Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem. Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions. Full-Cycle Owne

Anyfin is building the next generation of consumer finance. We’re profitable, scaling quickly and now operating with a banking license which opens up a lot of technical complexity. We’re looking for a senior cloud engineer who enjoys moving fast, taking real ownership and building systems that actually have an impact. If that sounds like your kind of environment, keep reading. Because honestly, it’s not a role for everyone. Small team, high responsibility We hire carefully. We’re not a company that grows by adding headcount everywhere, we grow by keeping the bar high and building a team where every person matters. This isn’t a place where you disappear into a big org. If you join, you’ll have real influence on what we build and how we build it. What you’ll do Designing, deploying and operating cloud infrastructure and services on GCP to support scalable and reliable systems. Building, optimizing and scaling backend systems with a cloud-first mindset, using Node.js and SQL (Postgres). Contributing to system architecture to ensure cloud scalability, reliability and maintainability of financial systems. Collaborating closely with cross-functional teams to shape both product direction and business strategy. Sharing cloud and infrastructure expertise with the team while promoting best practices. Our main stack is TypeScript, Node.js, React, React Native running on Google Cloud Platform. How we think about building We’re pragmatic. We like speed, but we also care about building things that last. AI isn’t a side tool here. It’s embedded in how we work helping engineers move faster, reduce friction and focus on solving meaningful problems. We’re looking for engineers who are curious about that shift and want to be part of it, rather than people who feel like good engineering means doing everything the hard way. No ego. Just good judgment and high output. You’ll thrive here if you… Have solid experience building backend systems with cloud-first practices and working with clo

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the iOS experience for Hark: a native app that brings a real-time, multimodal AI agent into people's pockets. That means shipping an app that feels instant, handles streaming AI responses gracefully, and integrates voice, text, and vision into a single coherent experience. The bar is high: this is the primary way millions of people will interact with Hark. This is a high-ownership role on a small team. You'll work directly with designers, platform engineers, and the people building the models. What you ship will define how Hark feels in someone's hand. Responsibilities Build and own the Hark iOS app. Architecture, UI, performance, and the end-to-end experience. Ship features that integrate real-time AI capabilities: streaming responses, voice input, tool invocations, and multimodal interactions. Work closely with designers to craft interfaces that feel fast, polished, and trustworthy. Sweat the details. Optimize for performance at every layer: startup time, animation smoothness, memory efficiency, and network latency. Own components end-to-end, from design and implementation through testing, launch, and iteration. Collaborate with platform and backend engineers on APIs, data contracts, and integration with the agent runtime.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About Cohere and North Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. Role Overview We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution. Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineerin

Anyfin is building the next generation of consumer finance. We’re profitable, scaling quickly, and now operating with a banking license which opens up a lot of technical complexity. We’re looking for a senior backend engineer with cloud experience who enjoys moving fast, taking real ownership, and building things that actually have an impact. If that sounds like your kind of environment, keep reading. Because honestly, it’s not a role for everyone. Small team, high responsibility We hire carefully. We’re not a company that grows by adding headcount everywhere, we grow by keeping the bar high and building a team where every person matters. This isn’t a place where you disappear into a big org. If you join, you’ll have real influence on what we build and how we build it. What you’ll do Building, optimizing and scaling robust financial backend systems using Node.js and SQL (Postgres) Working primarily in the backend while contributing to our cloud infrastructure, helping design and operate systems across networking, servers and database architectures to support scalable and reliable services. Contributing to system architecture to ensure scalability, reliability, and long-term maintainability of financial systems. Collaborating closely with cross-functional teams to shape both product direction and business strategy. Sharing backend expertise with the team while promoting best practices, along with strong cloud and infrastructure competence. Our main stack is TypeScript, Node.js, React, React Native running on Google Cloud Platform. How we think about building We’re pragmatic. We like speed, but we also care about building things that last. AI isn’t a side tool here. It’s embedded in how we work helping engineers move faster, reduce friction and focus on solving meaningful problems. We’re looking for engineers who are curious about that shift and want to be part of it, rather than people who feel like good engineering means doing everything the hard way. No ego. Just g

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the platform that powers Hark's AI agent — the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production. That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on. This is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both. Responsibilities Build the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together. Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage. Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines. Instrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop. Work across th

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Team You'll build the product surfaces of Hark — the interfaces and experiences users interact with every day across voice, text, and vision. That means translating what our agent can do into something that feels fast, intuitive, and trustworthy. The gap between a capable AI and one people actually want to use is a product problem, and this role owns it. This is a high-ownership role on a small team. You'll work directly with designers and model researchers, and what you ship will define how people experience Hark. Responsibilities Design and build the product surfaces of Hark. The interfaces, conversations, and agentic experiences that users interact with every day across voice, text, and vision. Work closely with designers to ship interactions that feel fast, reliable, and genuinely useful. The details matter here. Own features end-to-end, from early prototyping to production deployment and iteration based on real usage. Build the frontend for agent workflows that integrate tool use, memory retrieval, and multi-step reasoning. Making model capabilities feel coherent and trustworthy to the person using them. Instrument and evaluate what you ship. Track quality, gather signal, and improve. Requirements Strong frontend engineering fundamentals.

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. Currently in beta with Fortune 500 customers, AI Teammates represents Asana's shift from tracking work to getting work done. We're looking for an Engineering Manager to lead the Agent Orchestration team — the team building the connections to other systems that allow Asana AI to serve the highest-value workloads. This means building the integration capabilities, agent skills, and vertical use cases that make AI Teammates extraordinarily useful across enterprise tools and workflows. You'll manage a senior team of six engineers (ICs up to L6) working at the intersection of systems integration and emerging AI capabilities to architect the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance. This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team shaping how enterprises collaborate with AI agents across their entire tool ecosystem, and drive the technical direction for one of the most impactful applied AI challenges in the industry. You'll also flex into org-level engineering leadership across the broader Asana AI group, contributing beyond your direct team. About Asana AI Asana AI is the company's number one priority. We're building the future of human/AI collaboration — going beyond chatbots to integrate AI into everyday workflows for some of the biggest companies on the planet. Asana's AI Teammates deliver a secure, multi-player, enterprise-grade agentic experience. They're transforming Asana from a place wher

Job Summary This is a hands-on, activity-driven role ideal for someone who is eager to learn, contribute, and grow within a dynamic team responsible for driving sales of all Phoenix Contact products by combining engineering knowledge with strong interpersonal and business skills. The Sales Engineer (OEM) plays a key role in identifying growth opportunities, building relationships with potential and existing developing customers, and supporting the sales pipeline through consistent outreach and follow-up. This role involves identifying customer needs, recommending suitable products or solutions, and providing technical support throughout the sales process. The Sales Engineer (OEM) works closely with our Channel and Field Application Engineering teams to ensure customer satisfaction and achieve sales targets. This role focuses on deepening relationships within assigned accounts, driving growth opportunities, and expanding business engagement to maximize long-term value. Responsibilities Meet or exceed territory sales quotas as established by the RSM and/or Vice President—Field Sales. Be proficient in BASE selling skills and implement to build strong customer relationships. Generate new opportunities within assigned accounts through ongoing communication, relationship development, and collaboration with key stakeholders. Support the preparation of proposals, presentations, and sales materials. Maintain and update CRM systems with accurate client information. Fully utilize the CRM as a communication, reporting, measurement, and tracking tool to enhance productivity. Collaborate with the entire Phoenix Contact team to align efforts, effectively communicate both verbally and written. Track and report on business development activities and performance metrics. Differentiate Phoenix Contact from other component vendors by building “partner” relationships with customers. Focus on the customer by averaging a minimum of 16 to 20 sales calls per week. Be proficient in and drive

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI. AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL : Customer Engagement & Advisory Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches Extract business requirements from customers and translate them into a well-architected recommendation Develop and provide forward-looking guidance and future-state roadmaps Leverage known best practices and solutions to reduce risk to customer implementations Collaborate with Snowflake “Go to Market” teams and product teams to