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Senior AI & Automation Engineer
AutoStore™. Design, prototype and productionize AI agents and intelligent workflows using LLMs, RAG, tool use, orchestration and human-in-the-loop patterns .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI agents and intelligent workflows using LLMs and RAG, with a strong focus on data-driven decision support and automation. Proficient in building secure, scalable production solutions and integrating modern APIs to enhance operational efficiency.
Highest-signal resume keywords
Python ProgrammingLLM Application DevelopmentWorkflow AutomationAI Solution ProductionizationData Integration
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringGenerative AIAgentic AIData AnalysisSystems IntegrationAI EvaluationObservabilitySecurityAutomationPattern Recognition
Soft Skills
CuriosityOwnershipBias Toward Action
Tools & Technologies
AzureDatabricksSalesforceSAPGitHub
Industry Keywords
AI AgentsIntelligent WorkflowsHuman-in-the-LoopEnterprise SearchTool Orchestration
Tech Stack
Tools & technologiesAzurePython
About the role
Key responsibilities & impact- Design, prototype and productionize AI agents and intelligent workflows using LLMs, RAG, tool use, orchestration and human-in-the-loop patterns
- Work directly with business teams and operational data to identify friction, repetitive work, rework and high-value opportunities
- Challenge unnecessary complexity before automating processes
- Use historical and real-time data to uncover patterns and create reusable intelligence for classification, recommendations, knowledge retrieval and decision support
- Build secure, scalable and observable production solutions with APIs, integrations, testing, evaluation, monitoring and governance
- Measure outcomes including cycle time, quality, manual touches, self-service, adoption and capacity created
- Scale successful capabilities across sales productivity, partner and customer experience, revenue and account intelligence, and digital commercial experiences
- Develop AI agents that understand requests, retrieve knowledge, reason across business rules, and recommend or take actions
- Implement intelligent case intake, classification, routing and prioritization
- Automate order and PO quality validation
- Build knowledge and support agents grounded in enterprise data and documentation
- Enable AI-assisted exception handling, next-best actions, pattern recognition and intelligent self-service experiences
Requirements
What you’ll need- Strong software engineering skills, particularly Python and modern APIs
- Experience building applications using LLMs, generative AI or agentic AI
- Experience with RAG, enterprise search, tool/function calling or agent orchestration
- Strong understanding of data, workflow automation and systems integration
- Experience taking AI solutions from prototype to production
- Understanding of AI evaluation, observability, security and responsible AI
- Ability to turn ambiguous business problems into simple, scalable solutions
- Curiosity, ownership and a strong bias toward action
- Experience with Azure, Databricks, Salesforce, SAP, GitHub or modern AI development frameworks is valuable
- Must be able to work in the United States, based on the posting location “US Remote”
Benefits
Comp & perks- Comprehensive Medical, Dental, and Vision plans
- Health Savings Account (HSA) with a company contribution
- Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents
- Retirement 401(k) plan with employer match and discretionary profit sharing contribution
- Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders
- Group Life Insurance
- Voluntary Additional Life Insurance
- Disability Insurance
- Employee Assistance programs