AI Agent Developer
Software EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1929H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
88 days ago
Salary
$88.7K - $139.3K / year
Bachelor Degree4 yrs expEnglishERPPythonSQLUnity
Job Description
• Design and deploy multi-agent workflows using Copilot Studio, LangChain, and Databricks Agent Bricks
• Implement retrieval-augmented generation (RAG) pipelines using Delta Lake, Unity Catalog, and Databricks Vector Search
• Build custom Copilot connectors and plugins (Graph APIs, Power Automate actions) to expose governed Delta data in Teams, Outlook, and Power BI
• Architect pipelines that connect transactional, inventory, and ERP feeds into real-time copilots with <2s response targets
• Orchestrate workflows across Microsoft Fabric, Dynamics 365, and Databricks Lakehouse (Bronze/Silver/Gold layers)
• Manage agent lifecycle using MLflow 3.0 for experiment tracking, prompt registry, evaluation, and tracing
• Enforce governance guardrails: Unity Catalog (row/column-level security, lineage, audit logging), Microsoft Purview (DLP, sensitivity labels), and responsible AI practices (guardrails, human-in-loop)
• Monitor production agents for reliability, latency, token cost, effectiveness, usage, and safety
• Fine-tune foundation models (GPT-4o, GPT-5, Claude Opus, DBRX) for retail domain tasks
• Experiment with advanced multi-agent orchestration patterns, chain-of-thought optimization, and semantic indexing
• Continuously evaluate and integrate new features from Microsoft and Databricks platforms
• Evaluate adoption of agentic experiences, partnering with sales & channel marketing to maximize benefit and utilization
• Mentor and coach your analytics peers in ways that will accelerate the deployment of agents and the analytics outcomes we desire.
Job Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related quantitative field
- 4–6 years of professional experience in software engineering, data engineering, or applied AI/ML
- Demonstrated ability to ship at least one production-ready agentic or RAG (retrieval-augmented generation) solution, or equivalent evidence through open-source projects, internal pilots, or demos
- Proficiency in Python and SQL with experience building APIs, workflows, or automation pipelines
- Hands-on experience in either: Databricks Lakehouse (Delta Lake, Unity Catalog, Lakeflow Jobs, Model Serving, Vector Search), or Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps, Dataverse, Graph connectors)
- Familiarity with LLMOps practices (e.g., MLflow, prompt evaluation, observability dashboards) and implementing responsible AI guardrails (data access controls, PII handling, bias mitigation).
Benefits
- Comprehensive benefit plans
- Retirement, savings, tuition reimbursement, and employee incentive programs
- Resources for mental, physical, and financial wellbeing
- LinkedIn Learning access
- Internal opportunities to work on projects cross-company
- Paid volunteer day annually
- Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.
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