AI/ML Engineer

Posted on July 14, 2025

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Job Description

  • AI/ML Engineer
  • Mandate:
  • 6+ years in AI/ML or Conversational AI
  • Experience with LLMs, NLP (GPT, BERT)
  • Prompt engineering, fine-tuning
  • Azure OpenAI Services & APIs
  • Microsoft Copilot Studio
  • Microsoft Bot Framework (SDK, Composer)
  • Azure ML / Cognitive Services / AI Foundry
  • Integration with Microsoft Graph, REST APIs
  • RAG architecture, embeddings, vector DBs
  • M365 Copilot APIs / Plugin development
  • Python/Node.js coding & orchestration
  • Good to have:
  • CI/CD, Azure DevOps, containerization (Docker/K8s)
  • Job Overview:
  • We are seeking a dynamic and technically strong AI Lead with 6�8 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsoft�s AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry.
  • The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions.
  • Key Responsibilities:
  • Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework.
  • Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365.
  • Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems.
  • Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization.
  • Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.).
  • Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps.
  • Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.
  • Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences.
  • Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring.
  • Create documentation and reusable components/templates for repeated use across the organization.
  • Stay current on Microsoft�s AI advancements and recommend tools, features, or practices that improve time-to-value and performance.
  • Must-Have Skills:
  • 6�8 years of overall experience, including 5+ years in AI/ML or Conversational AI
  • Deep hands-on knowledge of:
  • Azure OpenAI services and APIs
  • Copilot Studio for building Microsoft 365-integrated assistants
  • Microsoft Bot Framework SDK/Composer for chatbot development
  • Prompt engineering for LLM optimization
  • Strong Python or Node.js development skills (for AI orchestration and integration)
  • Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth)
  • Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps
  • Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search)
  • Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT)
  • Excellent communication, leadership, and stakeholder engagement capabilities
  • Good-to-Have Skills:
  • Experience with Semantic Kernel or LangChain
  • Working knowledge of AI Foundry for orchestrating AI pipelines
  • Familiarity with Copilot extensibility and Teams App Studio
  • Exposure to M365 Copilot APIs and custom plugin creation
  • Knowledge of Responsible AI, data security, and compliance principles
  • Familiarity with containerized deployment (Docker, Kubernetes)
  • Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance
  • Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

Required Skills

ai/ml engineer