AI (Artificial Intelligence) Developer/Lead

AI Lead/Developer

AI Agents and Conversational AI Chatbots

Azure Cloud Services

Requirements

• Research, design and develop intelligent AI agents , AI/GenAI apps and chatbots using Azure OpenAI, Azure AI foundry, Semantic Kernel, Vector Databases, Azure AI Agent Service, Azure AI Model Inference, Azure AI Search, Azure Bot Services, Cognitive Services, Azure Machine Learning. Etc
• Lead architecture and implementation of AI workflows, including prompt engineering, RAG (Retrieval-Augmented Generation), and multi-turn conversational flows.
• Build and fine-tune LLM-based applications using Azure OpenAI (GPT models) for various enterprise use cases (customer support, internal tools, etc.).
• Integrate AI agents with backend services, APIs, databases, and third-party platforms via Azure Logic Apps, Azure Functions, and REST APIs.
• Design secure and scalable cloud architecture using Azure App Services, Azure Kubernetes Service (AKS), Azure API Management, etc.
• Collaborate with product managers, UX designers, and business stakeholders to define AI use cases and user interaction strategies.
• Conduct performance tuning, A/B testing, and continuous improvement of AI agent responses and model accuracy.
• Provide technical leadership, mentoring junior developers and contributing to architectural decisions.
• Stay up to date with advancements in Generative AI, LLM orchestration, and Azure AI ecosystem.
  

Required Skills & Experience:

• 4+ years of experience in AI/ML or software development, with at least 2+ years focused on Azure AI and chatbot development.
• Strong knowledge of Azure OpenAI Service, Azure Bot Framework, Azure Cognitive Services (LUIS, QnA Maker, Speech).
• Experience with Python, Node.js, or C# for bot development.
• Familiarity with LangChain, Semantic Kernel, or other agent orchestration frameworks (preferred).
• Hands-on experience deploying AI solutions using Azure ML, Azure DevOps, and containerization (Docker/Kubernetes).
• Deep understanding of natural language processing (NLP), LLMs, and prompt engineering techniques.
• Experience with RAG pipelines, vector databases (e.g., Azure Cognitive Search or Pinecone), and knowledge grounding.
• Proven experience integrating chatbots with enterprise platforms (MS Teams, Slack, Web, CRM, etc.).
• Strong problem-solving skills, analytical mindset, and passion for emerging AI technologies.
  

Preferred Qualifications:

• Microsoft Certified: Azure AI Engineer Associate or equivalent.
• Familiarity with Ethical AI, responsible AI design principles, and data governance.
• Prior experience in building multilingual and voice-enabled agents.
• Experience with CI/CD for AI pipelines using Azure DevOps or GitHub Actions.
  

Benefits

• Attractive salary packages with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.