Agentic AI Developer

We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs). This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations.

You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments — primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations).

Key Responsibilities

• Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel.
• Develop pipelines to process natural language input and generate structured outputs tailored to business needs.
• Implement agentic features such as task orchestration, memory storage, tool integration, and feedback loops.
• Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness.
• Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate).
• Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks.
• Participate in scenario-based UAT testing, risk evaluation, and continuous optimization.

Must-Have Skills

• Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain).
• Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles.
• Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling.
• Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures.
• Skills in Natural Language Processing (NLP): summarization, entity recognition, intent classification.
• Integration experience with APIs, SDKs, and enterprise tools (preferably Microsoft stack).

Preferred Certifications

(Candidates with the following certifications will have a strong advantage):

• ✅ Microsoft Certified: Azure AI Engineer Associate (AI-102)
• ✅ Microsoft Certified: Power Platform App Maker (PL-100)
• ✅ Microsoft 365 Certified: Developer Associate (MS-600)
• ✅ OpenAI Developer Certifications or Prompt Engineering Badge
• ✅ Google Cloud Certified: Professional Machine Learning Engineer
• ✅ NVIDIA Deep Learning Institute Certifications
• ✅ Databricks Generative AI Pathway (optional)