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.

• Ship full-stack AI projects end-to-end on a product built in Ruby on Rails backend and React frontend. • Design and run experiments (including A/B tests) to validate AI features. • Build and integrate components for AI infrastructure and optimize performance. • Help stay up-to-date with cutting-edge AI research, techniques, and tools. • Work closely with Circle's leaders and designers throughout the feature design process. • Foster a bias for action by prioritizing speed of iteration and maintaining high standards.

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