Applied AI Engineering

Job Description About Us We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for an Applied AI Engineer who is first and foremost a strong software engineer, with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use. As an Applied AI Engineer, you'll focus on making minimum loveable products powered by AIbuilding scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation. We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority. Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings. Key Responsibilities - Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems. - Integrate model training, evaluation, deployment, and monitoring into product workflows - Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools. - Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning. - Benchmark models, develop evaluation frameworks, and improve reliability and auditability. - Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments. - Work across the stackfrom backend systems to product SDKsto deliver AI features directly into user-facing applications. - Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind. - Own critical product components and take responsibility for delivering robust, production-grade features. - Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems. - Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement. Qualifications - BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience. - Strong software engineering background with proven experience shipping production systems. - 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions. - Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC. - Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API. - Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems. - Experience building and scaling backend platforms, APIs, and microservices. - Comfortable working full-stack, from model APIs down to user-facing integrations. - Have shipped AI features that users actually use; production experience over theoretical knowledge. - Track record of building reliable products with strong attention to detail and usability. - Autonomous and excited about taking ownership over major initiatives. - Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle. Bonus Points - Production experience with LLMs (APIs or custom implementations) at meaningful scale. - Experience building agentic systems or LLM-enabled products. - Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks. - Experience with performance optimization and high-scale document indexing systems. - Prior startup experience, grit, and ability to thrive in fast-moving environments. - Familiarity with databases and comfortable writing SQL queries. Perks - Competitive Compensation - Unlimited PTO - AI Assistants for work (Coding, General Purpose, etc.)