Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing. What you’ll do Partner directly with early customers to deploy and adapt Simular’s AI agents in real-world environments. Translate customer needs into product features, prototypes, and integrations. Write scripts and workflows to adapt our agents to customer-specific environments. Build custom solutions, tools, and workflows that showcase the power of Simular in production. Act as the bridge between customer-facing teams and core engineering/research - turning feedback into roadmap priorities. Be a “founding multiplier”: scrappy, resourceful, and deeply customer-obsessed. You might be a fit if Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field. Strong scripting skills (Python, Bash, or JavaScript) and ability to quickly automate workflows. Experience working with customers or in client-facing engineering roles. OR comfort working directly with customers and translating business needs into technical solutions. Ability to thrive in ambiguous environments, balancing immediate problem-solving with long-term product thinking. Strong communication and collaboration skills. Bonus: experience with deploying SaaS or AI systems, consulting/solutions engineering, or customer-facing technical roles.

Our technology team is a rapidly growing group of talented and experienced engineers helping to build the leading enterprise software company focused on restaurant technology. We use a modern tech stack to build great products and solve interesting and challenging engineering and innovation problems. We are looking for an ambitious and talented AI Engineer with a strong technical background looking for an opportunity to have a huge impact and be part of a growing team in a fast-moving, exciting, and entrepreneurial space. What You’ll Do Here: Research AI technologies for current and future products Design, develop, test, deploy, and maintain demo and production software Monitor and improve current ML processes Develop software to quickly and effectively collect training data Improve the iteration time between prototype to end-user testing Convert prototype software projects into demos and production software Experience We’re Looking For: Experience in Machine Learning models Proficiency in frameworks like PyTorch or Tensorflow Building AI/ML Training Data Sets Experience with LLMs Experience in ML Forecasting, Chatbots/AI Assistants, Automatic Speech Recognition (ASR) Understanding about software development process: Code organization, test driven development, unit testing Strong understanding and opinions about source control - Git branching strategies Experience with DevOps and CI/CD environments Comfortable architecting and designing large scale systems Designing for scalability Design for high-performance - low latency, high throughput Architecting for scalable teams Current with a variety of modern technologies 5+ overall years software product development experience Specific Technology Experience: Strong Experience with Python Experience with Deep Learning models Experience with PyTorch or Tensorflow Experience with Docker - building and deploying MongoDB AWS Services Environment: Agile Scrum, Git, CI & CD, Microservices, Microservice Testing Bonus Experience: Experience with REST Based Web Services (building both services and clients of services) Experience designing and building basic web application and front end UIs Experience working with NoSQL Databases Experience working with indexed data and search engines (ElasticSearch) Experience with .NET/NET Core The Type of Team Player We Need: Proactive mindset - enjoys and exhibits a high-degree of ownership Inventive, creative and resourceful Experience working in a product company or product type software development experience Experience bringing high-quality, high-performance software to production Ability to work collaboratively with cross-functional teams Comfortable working in an environment with ambitious expectations Flexible mindset and able to deal with ambiguity Excellent communication - in person, on the phone, and in writing Intellectual curious, forward thinking, willing to suggest & try new technologies and creative approaches to problems

Location: Prefer Onsite NYC or SF. Open to exceptional Remote candidates Employment Type: Full-Time Hiring Manager: Andrew Rosen, Head of Engineering About Arc Arc is building the first AI-native business cash management platform . We empower high-growth companies to manage, analyze, and act on their financial data through a unified cash management, treasury, and debt-financing platform—powered by AI. Founded in 2021, Arc is backed by world-class investors (Series A), supports thousands of technology companies as customers, and manages billions of dollars in transaction volume. With offices in NYC and SF, we operate on a Monday–Wednesday in-office model (Thu–Fri optional in-office or WFH). We’re at an inflection point. Large enough to matter; small enough to innovate. The Role We are seeking a Applied AI Engineer to join Arc’s engineering organization. This is a foundational AI role , responsible for driving the research direction, execution, and delivery of Arc’s AI-powered products across both cash management and debt marketplace products. What You’ll Do Execution & Product Impact Collaborate with engineering, product, design, and leadership to build and improve AI-powered financial products. Build evaluation frameworks , model-improvement infrastructure, and production-grade AI systems. Rapidly prototype 0→1 and MVP experiences to unlock new value for Arc customers. Ship projects frequently and consistently, with strong bias to action. Technical Excellence Architect and implement Generative AI applications using: Agentic workflows RAG systems State-of-the-art model leveraging techniques Optimize for inference performance, token efficiency, latency, and cost. Contribute to platform-level systems in Python and Typescript. What You Bring Minimum Qualifications 5+ years of engineering experience, including 1+ years building AI-based applications . Advanced degree in Computer Science or related field; Masters/PhD preferred Strong background in Generative AI , LLMs, and modern applied AI toolchains. Demonstrated success building agentic systems, RAG architectures, or state-of-the-art model integrations . Experience building evaluation pipelines for foundational-model applications. Strong software engineering fundamentals. Proven ability to independently drive 0→1 , MVP development, and rapid prototyping. Preferred Experience Startup experience, ideally combined with exposure to 1–2 mid-size or large organizations. Fintech or B2B product experience. Applied AI experience including infra, model improvement loops, and optimization. Python, Typescript, model performance tuning, and workflow automation. Why Join Arc Now? Category creation: You’ll build the first AI platform for business cash business management. Massive market: Banking + treasury + AI automation is a multi-trillion-dollar opportunity. PMF already secured: Arc has elite customers, strong economics, and hyper-growth. High impact: Staff engineers here are foundational—this role moves the roadmap. Lean, elite team: Work with exceptional builders; every engineer is high-leverage.

• Help define how we will evolve and dominate the emerging AI security platform market. • Develop bold and differentiated messaging for our platform capabilities to secure AI, using customer stories and product innovations • Coordinate and lead platform-level launches around secure AI innovations, interfacing with product managers and product marketing managers to drive cross-functional alignment and execution across teams • Develop compelling platform content and collateral, including ebooks, videos, and blogs that highlight CrowdStrike's innovation in securing AI systems and support marketing campaigns and demand generation goals • Be the expert on AI security buyers, emerging threat vectors, market trends, and competitive offerings, using this knowledge to drive differentiation and influence product planning • Collaborate with sales and partner teams to develop platform level value propositions and training materials to support AI security conversations • Support analyst briefings and industry events with expertise on AI security trends and CrowdStrike's platform capabilities • Drive platform messaging and content strategy for securing AI across digital properties, ensuring consistent positioning and clear customer journeys