Job Title: Senior Software and Integrations Engineer

Company Name: Comeryx

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/9l4aq2qln7lls6mr

Job Description: Posted 1d agoSenior Software and Integrations Engineer@ ComeryxView All JobsWebsiteDenver, Colorado, United StatesRemoteFull TimeResponsibilities:build APIs, integrate data, design workflowsRequirements Summary:5+ years in full-stack/backend/data engineering; strong TypeScript/Python; 3+ years P&C insurance; experience with REST APIs, data pipelines, and AI/LLM workflows.Technical Tools Mentioned:TypeScript, Python, Java, SQL, Node.js, REST APIs, Webhooks, Snowflake, dbt, Airflow, LangChain, LlamaIndex, Docker, Kubernetes
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.TasksUnderwriting 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.RequirementsEngineering Experience: 5+ years of experience in full-stack software engineering, backend development, or data engineering as an individual contributor.Technical Proficiency: Strong professional experience in TypeScript and/or Python, particularly for backend development and data integration.Insurance Domain Knowledge: 3+ years of experience in Property & Casualty (P&C) insurance, with a solid understanding of the policy lifecycle (rating, quoting, binding, issuance).Insurance Platform Expertise: 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).Integration Master: 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.Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).Preferred Qualifications:Cloud Infrastructure: Hands-on experience deploying and managing applications on modern cloud platforms (AWS, GCP, or Azure) and using CI/CD tools (GitHub Actions, Jenkins).AI/LLM Familiarity: 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.