Software Engineer, AI Focused

Assurant

. Build, test, and ship features for production AI systems, including RAG pipelines, agentic workflows, and model orchestration components .

Posted 9/24/2026full-timeAtlanta • Florida • United StatesJuniorMid-Level💰 $74,600 - $124,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in modern programming languages and hands-on experience with LLM APIs, while effectively collaborating with cross-functional teams to deliver high-quality AI systems. Emphasizes a strong understanding of AI orchestration frameworks and responsible AI practices.

Highest-signal resume keywords

Python ProgrammingLLM API IntegrationAI Orchestration FrameworksAWS ExperienceCI/CD Pipeline Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringREST API DevelopmentDatabase ManagementTesting and DebuggingContainerization with DockerKubernetesMonitoring and ObservabilityTechnical WritingVersion ControlAI System Evaluation

Soft Skills

Clear CommunicationCuriosityCollaborationProblem-SolvingAdaptability

Tools & Technologies

AWSGCPAzureSemantic KernelLangGraphLangChainClaude CodeCursorCI/CD ToolsVector Databases

Industry Keywords

AI SystemsResponsible AI PracticesQuality RegressionCost AnomaliesLatency Spikes

Tech Stack

Tools & technologies

AWSAzureDockerGoogle Cloud PlatformJavaKubernetesPythonTypeScriptGo

About the role

Key responsibilities & impact

Build, test, and ship features for production AI systems, including RAG pipelines, agentic workflows, and model orchestration components
Write and maintain evaluation cases and test suites to catch regressions in AI system quality
Implement and iterate on prompts, tool/function definitions, and guardrails using evaluation results
Contribute to services, APIs, and data pipelines supporting AI features, including instrumentation, logging, and dashboards
Investigate production issues such as latency spikes, cost anomalies, quality regressions, and failed tool calls
Participate in code reviews, design discussions, and post-incident analyses
Work with Product, Design, and Data Science teams to turn requirements into working software and flag tradeoffs early
Keep documentation and runbooks current
Work alongside senior engineers while developing deeper technical ownership

Requirements

What you’ll need

2+ years of professional software engineering experience building and shipping production software
Proficiency in at least one modern programming language, such as Python, TypeScript, Java, Go, or C#
Hands-on experience integrating LLM APIs into an application, including prompting, structured outputs, and function/tool calling, through professional work, internships, or substantive personal projects
Working knowledge of REST APIs, databases, version control, testing, and debugging
Curiosity about how AI systems behave in the real world and willingness to measure results
Clear written and verbal communication and comfort asking for help and giving updates
Familiarity with AI orchestration frameworks such as Semantic Kernel, LangGraph, or LangChain
Exposure to vector databases, embedding models, or semantic search
Experience with AWS, GCP, or Azure and containerization with Docker or Kubernetes
Familiarity with CI/CD pipelines, monitoring, and observability tooling
Experience using AI-assisted development tools such as Claude Code, Cursor, or equivalent
Awareness of responsible AI practices, including safety testing, content filtering, and bias considerations
Open-source contributions, technical writing, or side projects involving LLMs
Employment is contingent upon completion of a required identity verification process

Benefits

Comp & perks

Salary growth within the position
U.S. benefit information available through Assurant’s benefits program
Required virtual interviews conducted on video