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

Job Summary

We 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.

Responsibilities

Design, develop, and deploy AI-powered applications using modern AI frameworks to meet enterprise needs

Build and integrate Generative AI solutions leveraging Large Language Models (LLMs) for enhanced functionality

Develop AI agents, co-pilots, chatbots, and workflow automation solutions to improve operational efficiency

Fine-tune, prompt engineer, and optimize LLM-based applications for performance and accuracy

Build scalable AI/ML models and deploy them in production environments ensuring reliability

Integrate AI services with enterprise applications and cloud platforms to enable seamless workflows

Collaborate with business stakeholders to identify AI use cases and deliver innovative, impactful solutions

Ensure AI solutions comply with security, governance, and responsible AI practices to maintain trust and safety

Required competencies and certifications

Candidates should possess strong expertise in one or more of the following areas:

Option 1 – Generative AI

Apply hands-on experience with OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama to develop AI solutions

Perform prompt engineering and implement Retrieval-Augmented Generation (RAG) techniques

Utilize AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel to build AI workflows

Manage and query vector databases like Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search for data retrieval

Develop and orchestrate AI agents to automate complex tasks

Option 2 – AI / Machine Learning

Use strong Python programming skills to develop machine learning models and applications

Design and implement machine learning and deep learning models using TensorFlow, PyTorch, and Scikit-learn

Apply NLP, computer vision, predictive analytics, or recommendation system techniques to solve business problems

Conduct model training, evaluation, deployment, and manage MLOps pipelines for continuous delivery

Option 3 – Microsoft Copilot / Agentic AI

Develop solutions using Microsoft Copilot Studio and build Copilot Agents for enterprise use

Leverage Microsoft Power Platform, Microsoft Graph API, and Azure AI Services to create integrated AI applications

Implement workflow automation using Power Automate and extend Microsoft 365 Copilot capabilities

Design and deploy Agentic AI solutions to enhance business processes

Qualifications

Bachelor'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 competencies

Utilize Azure, AWS, or Google Cloud AI services to enhance AI solution scalability and integration

Develop and maintain REST APIs and microservices architectures for modular AI applications

Employ Docker and Kubernetes for containerization and orchestration of AI workloads

Implement CI/CD pipelines and DevOps practices to streamline AI model deployment and updates

Apply knowledge of enterprise AI governance and security frameworks to ensure compliance

Experience in banking or financial services domain to tailor AI solutions for industry-specific challenges