AI Engineer (Generative AI / AI-ML / Microsoft Copilot)

Job SummaryWe are looking for an experienced AI Engineer with strong expertise in Generative AI, AI/ML, or Microsoft Copilot/Agentic AI development. Candidates should have hands-on experience building AI-powered applications, integrating LLMs, and delivering enterprise AI solutions. Professionals with expertise in any one of these core areas are encouraged to apply.ResponsibilitiesDesign, develop, and deploy AI-powered applications using modern AI frameworks to meet enterprise needsBuild and integrate Generative AI solutions leveraging Large Language Models (LLMs) for enhanced functionalityDevelop AI agents, co-pilots, chatbots, and workflow automation solutions to improve operational efficiencyFine-tune, prompt engineer, and optimize LLM-based applications for performance and accuracyBuild scalable AI/ML models and deploy them in production environments ensuring reliabilityIntegrate AI services with enterprise applications and cloud platforms to enable seamless workflowsCollaborate with business stakeholders to identify AI use cases and deliver innovative, impactful solutionsEnsure AI solutions comply with security, governance, and responsible AI practices to maintain trust and safetyRequired competencies and certificationsCandidates should possess strong expertise in one or more of the following areas:Option 1 – Generative AIApply hands-on experience with OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama to develop AI solutionsPerform prompt engineering and implement Retrieval-Augmented Generation (RAG) techniquesUtilize AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel to build AI workflowsManage and query vector databases like Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search for data retrievalDevelop and orchestrate AI agents to automate complex tasksOption 2 – AI / Machine LearningUse strong Python programming skills to develop machine learning models and applicationsDesign and implement machine learning and deep learning models using TensorFlow, PyTorch, and Scikit-learnApply NLP, computer vision, predictive analytics, or recommendation system techniques to solve business problemsConduct model training, evaluation, deployment, and manage MLOps pipelines for continuous deliveryOption 3 – Microsoft Copilot / Agentic AIDevelop solutions using Microsoft Copilot Studio and build Copilot Agents for enterprise useLeverage Microsoft Power Platform, Microsoft Graph API, and Azure AI Services to create integrated AI applicationsImplement workflow automation using Power Automate and extend Microsoft 365 Copilot capabilitiesDesign and deploy Agentic AI solutions to enhance business processesQualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.3+ years of software development experience with relevant AI expertise.Preferred competenciesUtilize Azure, AWS, or Google Cloud AI services to enhance AI solution scalability and integrationDevelop and maintain REST APIs and microservices architectures for modular AI applicationsEmploy Docker and Kubernetes for containerization and orchestration of AI workloadsImplement CI/CD pipelines and DevOps practices to streamline AI model deployment and updatesApply knowledge of enterprise AI governance and security frameworks to ensure complianceExperience in banking or financial services domain to tailor AI solutions for industry-specific challenges