> Markdown version of [/jobs/ext/2736886-software-engineer-fullstack](https://www.wearedevelopers.com/jobs/ext/2736886-software-engineer-fullstack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Fullstack - **Company:** Abnormal AI, Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $149,200.0 - $214,500.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Batch Processing, Big Data, Cloud Computing, Code Review, Cyber Security, Information Systems, Relational Databases, Software Debugging, Programming Tools, Django Web Framework, Design of User Interfaces, Human-Computer Interaction, Internet Security, Python (Programming Language), PostgreSQL, Requirements Management, Software Engineering, TypeScript, Web Applications, Web Services, Data Logging, Scripting, ReactJS, Large Language Models, Prompt Engineering, Apache Spark, Cyber Threat Analysis, Backend, Information Technology, Apache Kafka, Databricks - **Published:** September 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-ii-full-stack-boston-ma--85264ea3-3266-4ec5-b1fb-e39f5a791fe7 ## About the Role * 2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments. * Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases. * Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs. * Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability. * Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system. * Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks. * Experience with AI development tools. * Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience. Nice to Have * Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems. * Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security. * Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment. * Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location., Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Candidate Screening, Cloud Applications, Code Reviews, Communication Skills, Compensation Management, Computer Science, Computer Security, Customer Support/Service, Customer/Consumer Behavior, Data Modeling, Debugging Skills, Django, Email Security, Engineering, Incident Response, Information Technology & Information Systems, Intel Product Family, Internet Application, Internet Security, Interviewing Skills, Metrics, PostgreSQL, Product Engineering, Production Systems, Programming Tools, Python Programming/Scripting Language, Relational Databases (RDBMS), Reporting Dashboards, Requirements Management, Service Level Agreement (SLA), Software Engineering, Storytelling, Structured Data, Team Player, User Interface/Experience (UI/UX) ## Description As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. You will implement fullstack features end-to-end, from backend APIs and data contracts through to performant, intuitive UIs in the customer portal and internal tools that surface these explanations in the right context. Your work will directly shape how customers perceive Abnormal's detection quality and how they reason about threats at scale. This role is ideal for an engineer who enjoys owning well-scoped systems, learning from senior partners, and combining strong engineering fundamentals with product intuition and storytelling. What you will do * Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers. * Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns. * Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts. * Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability. * Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own. * Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers. * Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)