Senior Software Engineer – AI

NFPA

. Develop, maintain, and enhance CASI, NFPA’s AI system, related AI systems, and applications that leverage them .

Posted 9/18/2026full-timeRemote • Massachusetts • United StatesSenior💰 $101,218 - $172,049 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and enhancing AI systems and web-based applications, with a strong focus on generative AI technologies and integration within the Microsoft technology stack. Proficient in designing RESTful APIs, producing clean code, and collaborating across teams to deliver high-quality software solutions.

Highest-signal resume keywords

C#.NET CoreWeb APIGenerative AI TechnologiesAzure Cloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RESTful API DesignSQL ServerVector DatabasesSemantic SearchLarge-Scale Document IngestionApplication ArchitectureTechnical DocumentationCode ReviewTroubleshootingUnit Testing

Soft Skills

CollaborationMentoringProblem-SolvingAdaptabilityCommunication

Tools & Technologies

Azure AI SearchOpenAIAzure DevOpsDockerCI/CD PipelinesGitBitbucketAzure B2CApp ServicesQueue Storage

Industry Keywords

AI SystemsAgentic WorkflowsRAG SystemsPrompt EngineeringContext Engineering

Tech Stack

Tools & technologies

AWSAzureCloudDockerFluxJavaScriptNext.jsNode.jsReactReduxSQLTypeScript.NET

About the role

Key responsibilities & impact

Develop, maintain, and enhance CASI, NFPA’s AI system, related AI systems, and applications that leverage them
Design, develop, test, maintain, and improve AI systems and web-based business applications
Develop and support generative AI solutions, including RAG systems, agentic workflows, tool calling, agents and skills, prompt and context engineering, MCP servers, vector databases, semantic search, and large-scale document ingestion and retrieval
Integrate software systems, application components, and third-party programs
Collaborate with software developers, business analysts, architects, vendors, partners, and teams across the organization throughout the software development lifecycle
Apply application architecture knowledge to technical decision-making and problem-solving
Design and implement observable, high-throughput RESTful APIs and integrations
Produce clean, efficient, well-designed, and testable code
Design, develop, and unit test applications according to established development standards
Participate in code reviews and mentor and assist other developers with software development best practices
Analyze, troubleshoot, and resolve technical and application issues
Develop and maintain technical documentation
Work effectively within legacy application architectures when required
Collaborate across teams to meet changing priorities and deadlines while proactively identifying issues and developing long-term solutions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or proven equivalent experience demonstrating the required skills and knowledge
Minimum of seven years of demonstrated experience working with the Microsoft technology stack, including C#, .NET Core, Web API, SQL Server, and Azure cloud infrastructure
Minimum of three years of experience with generative AI technologies, including RAG, tool calling, agents and skills, prompt and context engineering, vector databases, semantic search, MCP, and large-scale document ingestion and retrieval systems
Experience with C#, .NET Core, Web API, SQL Server, Azure AI Search, OpenAI, Azure AI Foundry, App Services, Queue Storage, Durable Functions
Knowledge of agentic workflows, skills, MCP servers, RAG systems, vector databases, semantic search, large-scale document ingestion and retrieval, RESTful APIs, JSON, Azure B2C or similar identity management platforms, Docker, CI/CD pipelines, Azure DevOps, Git, and Bitbucket
Preferred but not required: JavaScript ES6, HTML 5, CSS V3+, NextJS/Vercel, ReactJS, Redux or Flux, Node.js/NPM, TypeScript, Coveo/Atomic, AWS cloud services and architecture, cloud-based integration platforms
Primarily work within Eastern Time business hours (8:00 a.m.–6:00 p.m.)

Benefits

Comp & perks

Strong total rewards package
Comprehensive benefits
Remote work with occasional in-person visits for group or company meetings
Scheduling flexibility based on location