AI Agent Developer

Role Overview
The team is seeking a handson AI Agent Developer who can design, build, and iterate on datadriven AI agents using Microsoft technologies such as Microsoft Fabric, Azure, and Copilot Studio. The role requires strong engineering fundamentals, fast iteration, the ability to anticipate issues, and effective collaboration with both technical and nontechnical stakeholders.

Core Responsibilities

AI Agent Development

• Build and deploy AI data agents connected to enterprise datasets and semantic models in Microsoft Fabric.
• Configure prompts, grounding strategies, exemplars, and agent instructions.
• Implement multiagent architectures, including parent/child routing, delegation, and fallback patterns.

Prompt Engineering & Evaluation

• Write clear system messages, input/output formats, and guardrails.
• Evaluate prompt behaviour for reliability, correctness, retrieval quality, and output safety.
• Instrument evaluation loops and continuously improve models based on telemetry and feedback.

Data & Semantic Model Integration

• Integrate agents with Fabric Lakehouse/Warehouse datasets and semantic models.
• Work with data engineers to define data requirements and ensure proper schema alignment.
• Map user intents to the correct data fields and grounding sources.

Backend Engineering (Python / SQL / Azure)

• Build supporting utilities and APIs using Python, SQL, and Azure services.
• Integrate agents with retrieval layers such as Cognitive Search, vector indexes, or API endpoints.

Rapid Iteration & Quality

• Move quickly from MVP v1 vNext with minimal handholding.
• Detect and diagnose issues such as data gaps, grounding mismatches, prompt failures, or routing errors.
• Recommend fixes and drive continuous improvements.

Collaboration & Communication

• Communicate technical reasoning clearly to engineers, architects, PMs, and nontechnical partners.
• Break work into clear phases, milestones, dependencies, and delivery plans.

Required Skills

• Proven experience building AI agents, copilots, or conversational AI applications.
• Strong engineering skills in SQL, Python, and Azure services.
• Experience connecting agents to semantic models, BI datasets, or Fabricbased data sources.
• Ability to design and operate multiagent systems (parent/child agents, routing logic, state handling).
• Strong problemsolving skills and ability to iterate quickly with limited guidance.
• Clear communication skills across technical and nontechnical audiences.

Preferred Skills

• Experience with Copilot Studio, agent orchestration frameworks, or Fabric Data Agents.
• Familiarity with retrievalaugmented generation (RAG), vector search, metadata enrichment, and evaluation pipelines.
• Understanding of enterprise data governance, privacy practices, and data stewardship.
• Experience creating telemetry dashboards or analytics to measure agent performance and quality.

#LI- LJ1

#remote