Togetherwork
Tech / AI / Software
Sr.AIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. AI Engineer at Togetherwork. Skills: AI agents, multi-agent systems, AI workflows, AI model implementation, SDLC integration. Design and implement multi-agent systems, skills, and hubs. Embed AI into implementation, code review, test generation, defect analysis, documentation, and developer productivity workflows across 20+ products”
Industry & Context.
defect analysis; identify and mitigate injection risks, PII exposure, and data leakage; surface optimization opportunities proactively; manage the impact of upstream AI model updates
Candidates must have current, unrestricted authorization to work in the country where the role is based., no research role, no strategy role, hands-on implementation role
What They're Looking For.
Must Have
5+ years as a software engineer, quality engineer, or architect, 1+ year of hands-on AI agent and workflow implementation in a real production environment, Direct experience with AI models (Claude Code, MCP, multi-agent orchestration, CodeRabbit, or other tools), Experience building and shipping multi-agent systems, skills, and hubs that real development teams depend on, Proven ability to evaluate and select AI models based on use case, cost, latency, and security requirements, Experience integrating AI into SDLC workflows: development, code review, test generation, CI/CD, or developer tooling, Working knowledge of AI security risks: prompt injection, PII handling, data leakage, and responsible deployment, Experience instrumenting AI agent workflows with observability tooling, Has delivered internal training to enable AI development across an engineering organization
Nice to Have
Experience across multiple products or a platform team simultaneously, Familiarity with MCP servers, RAG pipelines, and vector databases, Background in quality engineering: test automation, coverage analysis, or defect prediction, Experience with prompt versioning and AI output regression testing
What You'll Do.
Design and implement multi-agent systems
Embed AI into implementation
and developer productivity workflows across 20+ products
Evaluate AI model variants against real use cases and document selection decisions in a reusable framework
Select appropriate model tiers based on capability
and latency tradeoffs
Identify and mitigate injection risks
and data leakage across all agent workflows
Embed responsible AI usage guidelines into all internal training programs
Own cost awareness across all AI integrations
Monitor AI infrastructure costs across products and surface optimization opportunities proactively
Implement prompt versioning
regression testing frameworks
and change documentation for all AI workflows
Proactively manage the impact of upstream AI model updates on existing agent deployments
Build and deliver internal training across all engineering teams
Remain a long-term partner to product teams: gathering feedback
and evolving workflows as needs change
How You'll Work.
Team & Collaboration
train teams on how to use what you’ve built; stay connected to evolve it as the ecosystem matures; partner to product teams: gathering feedback, updating agents, and evolving workflows; collaboration
Communication Scope
Build and deliver internal training
Full Job Description
AI Engineer – SDLC Enablement Location: Austin, TX (hybrid) Schedule: Full-time | Hybrid (2–3 days in office) Work Authorization Notice: At this time, we are unable to provide immigration sponsorship for this position. Candidates must have current, unrestricted authorization to work in the country where the role is based. About Us Togetherwork is a $250M recurring revenue SaaS business with more than 33 software applications serving over 12 vertical markets. We help communities, organizations, and businesses thrive by delivering purpose-built software that supports their missions and operations. Headquartered on South Congress in Austin, TX, Togetherwork is scaling rapidly. We are customer-focused, execution-driven, and committed to operational excellence. Our teams value accountability, collaboration, and continuous improvement. About the Role Togetherwork is building its AI engineering practice from the ground up, and this role is at the center of it. As an AI Engineer, you will design, build, and deploy AI agents, workflows, and integrations across our software engineering and quality engineering functions. You will train our teams on how to use what you’ve built and stay connected to evolve it as the ecosystem matures. This is not a research role. This is not a strategy role. This is a hands-on implementation role with real organizational impact from day one. If you have a software or quality engineering foundation, have shipped AI agents and workflows into real production environments, and genuinely enjoy teaching other engineers how to work with AI — this role was written for you. What You’ll Do AI Agents and Workflows Design and implement multi-agent systems, skills, and hubs. Embed AI into implementation, code review, test generation, defect analysis, documentation, and developer productivity workflows across 20+ products. Model Evaluation and Selection Evaluate AI model variants against real use cases and document selection decisions in a reusable framework
Applying for this Sr. AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Togetherwork?
Real rants from real employees. Read before you apply.