This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients. Key Responsibilities - Define the end-to-end architecture for AI products on Google Cloud Platform (GCP), ensuring high availability, security, and cost-effectiveness. - Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale. - Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. - Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases. - Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team. - Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load. - Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time. - Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements. - Mentor engineers on best practices for building deterministic software around probabilistic AI models. Qualifications - 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development. - Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation. - Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex. - Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. - Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud. - Experience in Typescript development for prototyping and integrations. - Proficiency with git workflows and understanding of standard application development processes. Preferred Qualifications - Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT). - Experience optimizing inference costs and latency for large-scale deployments. - Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures. Benefits - Net-zero cost medical option. - Company contributions to your HSA. - Fertility support. - Fully-paid parental leave. - Monthly stipend for your lifestyle spending account. - And much more.

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.