• Lead the design, development, testing, delivery and support of software systems across our technical stack that drive our end-to-end product development ambitions. • Assist in product development strategy, design, planning and productivity. • Serve as a member of our technical team across both engineering and research. • Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code. • Contribute to technical strategy and planning across the company. • Represent Equilibrium in external venues, including presenting work at conferences and contributing to open-source projects.

Role Description We are seeking a highly skilled and hands-on Senior Software & Integrations Engineer to build and scale our core insurance technology stack. In this critical individual contributor role, you will be a primary developer of our policy life cycle management system and an architect of our agentic AI workflows and data pipelines that connect our broader ecosystem. The ideal candidate brings deep technical expertise in API integrations, LLMs, backend development, and Property & Casualty (P&C) insurance systems, combined with a passion for building next-generation insurance AI infrastructure. - Underwriting Platform Development: Serve as a core engineer for our underwriting platform (Federato), directly configuring the environment, writing complex business logic, and optimizing workflows for our underwriting teams. - Core Systems Integration: Architect and build robust, fault-tolerant data pipelines, REST APIs, and webhook ecosystems connecting the underwriting workbench with internal data lakes, downstream financial systems, and third-party data enrichment providers. - Hands-On Development: Write clean, production-level code in TypeScript/Node.js, Python, Java, and SQL, and manage complex JSON data structures to ensure seamless system communication. - Agentic Workflow Engineering: Design, deploy, and scale the multi-agent workflows that power our autonomous decision engine. You will integrate LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex) to automate complex underwriting reasoning, from unstructured document extraction to nuanced risk evaluation. - AI-to-Human Handoff Optimization: Build seamless "human-in-the-loop" pathways. Ensure that when our autonomous agents encounter complex edge cases or require underwriter intuition, the AI's reasoning, extracted data, and confidence scores are cleanly and contextually presented within the workbench. - Cross-Functional Collaboration: Partner directly with the CTO, product owners, and underwriting leaders to translate complex insurance domain requirements into elegant, scalable technical solutions. - System Optimization & Debugging: Perform root cause analysis on integration bottlenecks, optimize database query performance, and ensure highly reliable data synchronization across the MGA ecosystem. Qualifications - 5+ years of experience in full-stack software engineering, backend development, or data engineering as an individual contributor. - Strong professional experience in TypeScript and/or Python, particularly for backend development and data integration. - 3+ years of experience in Property & Casualty (P&C) insurance, with a solid understanding of the policy lifecycle (rating, quoting, binding, issuance). - Direct, hands-on experience configuring, implementing, or deeply integrating with modern Insurance SaaS underwriting workbenches or AI-Native PAS platforms (e.g., Socotra, Guidewire, Duck Creek, Britecore, and Origami, but direct experience with Federato is a significant advantage). - Strong expertise in building RESTful APIs, handling complex webhooks, and managing deep JSON-based data exchange and schema mapping across disparate systems. - Familiarity with modern data stacks (e.g., Snowflake, dbt, Airflow) and complex ETL/ELT pipelines. - Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience). Requirements - Hands-on experience deploying and managing applications on modern cloud platforms (AWS, GCP, or Azure) and using CI/CD tools (GitHub Actions, Jenkins). - Experience or interest in Large Language Models (LLMs), RAG architectures, and frameworks like LangChain to develop our agentic AI workflows. - Experience with modular, microservice-based architectures and containerization (Docker, Kubernetes). - Proven track record of thriving in a fast-paced startup or scale-up environment, taking ownership of complex integration projects. Knowledge, Skills, and Abilities - Outstanding ability to map complex, abstract business logic to structured database schemas. - Strong communication skills, with the ability to discuss system architecture and integration challenges clearly with both technical peers and underwriting stakeholders. - Relentless problem-solving skills and the ability to debug complex, multi-system integration failures. - Strong time management and prioritization skills to manage multiple critical-path engineering tasks simultaneously. Company Description Comeryx is the first AI-native Managing General Agent (MGA) purpose-built for small-business artisan contractors as its initial market. Backed by a recent $7.5M funding round, we are transforming the Excess & Surplus (E&S) insurance landscape by addressing a critical structural paradox: the high friction and economic inefficiency inherent in manually underwriting complex small-business risks. We are not a legacy system with AI features bolted on - we are AI-native by design. Our platform replaces manual underwriting bottlenecks with an autonomous decision engine, leveraging proprietary Agentic AI workflows to handle document ingestion, reasoning, and the entire lifecycle from quote to issuance. By combining digital speed with traditional E&S underwriting rigor, we enable wholesalers to quote, bind, and issue coverage in minutes, not days. At Comeryx, we don't just automate; we engineer intelligent decision-making.

• Develop software systems to support large scale deployments of cloud infrastructure • Design and develop APIs to support Infrastructure as Code (IaC) automation and deployment workflows. • Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services • Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software • Automate the validation of software solutions with unit and integration tests • Participate in the ownership and health of CI/CD pipelines from dev to production environments • Collaborate with other specialists for feedback on proposed designs and product direction • Openly share successes and failures in a no blame environment

• Work on the compiler infrastructure responsible for generating high-performance GPU kernels from frontend compiler representations • Designing and implementing compiler passes, IRs, and lowering pipelines for GPU kernel generation for DL compiler and framework integration • Building MLIR-based transformations and compiler infrastructure connecting frontend representations to backend code generation • Performance analysis and optimization across the codegen pipeline • Making architectural decisions about how the codegen backend integrates with compiler frontends, GPU libraries, and NVIDIA's broader compilation ecosystem • Setting technical direction for your area: scoping multi-quarter work and defining abstractions • Collaborating across teams, including hardware architects and library teams