Lead Developer / Dynamics CRM-9

Role : Lead Developer- Dynamics CRM
Location : Montvale, NJ
Duration: 6 months

Essential Skills: Lead Developer- Dynamics CRM
Desirable Skills:
Keyword:
Skills: Digital : Microsoft Dynamics 365 CRM Technical
Experience Required: 10 & Above

Development Lead

**PLEASE DO NOT SUBMIT DUPLICATES FROM 49978-1**

Microsoft Dynamics 365 CE/CRM Technical Lead

Role: ProCode Developer

Required Skills & Experience

• 5–10 years in software engineering with strong Python (async, typing, packaging, testing) and API development.

• 2–4 years building GenAI/LLM solutions (Azure OpenAI/Foundry), including prompt engineering, tool/function calling, and retrieval patterns. (Learning/Docs alignment via Microsoft Learn & internal enablement.)

• Hands-on with Azure services used in AI apps: Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Key Vault, Event Grid/Service Bus, Storage, App Service/Container Apps.

• Practical experience with agentic frameworks (e.g., Semantic Kernel, LangGraph, or AutoGen).

• Familiarity with vector databases, embeddings, chunking strategies, and evaluation/guardrail techniques.

• Proficiency with Git, DevOps pipelines, and observability (App Insights/Log Analytics).

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Nice to Have

• Experience with PCF/Power Platform extensions to surface agents in business apps, or Teams/Copilot Studio action integration when relevant to the use case. (Enterprise agent go-to-market references.)

• Exposure to prompt flow, evaluation harnesses, A/B testing, and model benchmarking in Foundry.

• Knowledge of RAI tooling (e.g., NeMo Guardrails or platform safety configs) and enterprise AI compliance processes.

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Education & Certifications

• Bachelor’s in Computer Science/Engineering (or equivalent experience).

• Certifications (nice-to-have): Azure AI Engineer/Developer, Azure Data/Architect, PL-400/PL-600 (if working adjacent to Dynamics/Power Platform).

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Behavioral Competencies

• Product mindset with focus on business value, reliability, and safety.

• Excellent collaboration and communication across architecture, security, and delivery teams.

• Bias for automation, documentation, and re-use; comfortable in agile, multi-stream programs