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# AI Senior Software Developer

- **Company:** CASEWARE USA INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, AI Evaluation, AWS Textract, Artificial Intelligence, Amazon Web Services, Amazon S3, Confluence, JIRA, Microsoft Outlook, Software as a Service, Cloud Computing, Cloud Engineering, Programming Tools, Memory Management, Amazon DynamoDB, Github, Python (Programming Language), Software Architecture, Cloud Services, Software Engineering, TypeScript, Data Processing, GitHub Copilot, LangChain, Large Language Models, Multi-Agent Systems, AgentCore, AWS Lambda, Backend, Langfuse — LLM Observability and Analytics Platform, Cloudformation, Caseware, AI Platforms, LangSmith, Low Latency, Artificial Intelligence Governance, NestJS, Terraform, Serverless Computing, OpenSearch, AWS EKS, Monolithic Repository
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/przb0sahkz

## About the Role

* 8+ years of professional software engineering experience, with demonstrated

impact beyond a single team

 * 2+ years building and operating production AI systems.

 * Proven experience designing distributed, SaaS, cloud-native, multi-tenant

platforms at scale.

 * Proven experience designing distributed, SaaS, cloud-native, multi-tenant

platforms at scale.

 * Experience implementing AI guardrails, governance controls, and safety

mechanisms.

 * Strong understanding of AI system tradeoffs including latency, cost, accuracy,

reliability, and scalability.

 * Extensive experience building and operating production systems on AWS.

 * Experience with Infrastructure as Code using CDK, CloudFormation, or Terraform.

 * Experience mentoring engineers and influencing architectural decisions across

teams.

 * Strong English language communication and collaboration skills.

 * Comfortable operating in fast-moving environments with ambiguity and evolving

requirements.

Nice to Have

 * Experience operating systems in regulated or compliance-heavy domains.

 * Familiarity with accounting, auditing, or financial workflows.

Tech stack you'll be working with:

 * Backend & Platform: TypeScript, NestJS, Python

 * Cloud & Infrastructure: AWS EKS, AWS Lambda, AWS Bedrock, AWS AgentCore

 * Search & Retrieval: AWS OpenSearch Serverless

 * Document & Data Processing: AWS Textract, DynamoDB, S3

 * AI Evaluation & Observability: LangFuse, LangSmith, LangChain, LangGraph

 * AI-Assisted Development: GitHub Copilot, AWS Kiro

 * Developer Tooling: GitHub, GitHub Actions, Nx Monorepo

 * Collaboration: Jira, Confluence, Microsoft Teams, Outlook

## Description

* Define and evolve the technical architecture for Caseware's AI platform,

establishing architectural standards, contracts, and design principles that enable

scalable, secure, reusable, and trustworthy AI capabilities across multiple teams.

 * Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic

workflows, and AI-enabled services, including multi-agent systems, agent

execution runtimes, workflow orchestration, memory management, and human-inthe-loop AI capabilities.

 * Design and implement evaluation, governance, auditability, and traceability

frameworks that ensure AI systems are measurable, explainable, compliant, and

continuously improving.

 * Translate advances in AI into practical, maintainable platform capabilities that

solve real customer problems.

 * Influence technical direction through architecture reviews, RFCs, design

discussions, and hands-on collaboration.

 * Evaluate emerging AI technologies, models, frameworks, and cloud capabilities.

 * Lead proof-of-concepts that inform platform strategy and future investments.

 * Balance delivery speed, quality, maintainability, and long-term platform health

when making technical decisions.

 * Drive reliability, observability, monitoring, alerting, and incident response practices

across AI systems and platforms.

 * Ensure systems are resilient, scalable, cost-effective, and operationally efficient in

production environments.

 * Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to

deliver business value.

 * Act as a trusted technical leader, helping teams succeed through collaboration,

influence, and shared ownership.

 * Mentor engineers across teams and contribute to raising overall engineering