AI Developer

Job description

Job Description – AI Developer

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development Design and develop AI-powered business applications. Build enterprise AI assistants, copilots, and AI agents. Develop AI APIs and intelligent automation workflows. Integrate AI capabilities into enterprise applications. Create scalable and production-ready AI solutions. Generative AI Development Build applications using Large Language Models (LLMs). Develop Prompt Engineering frameworks. Implement RAG (Retrieval-Augmented Generation) solutions.

Integrate OpenAI and Azure OpenAI models. Develop conversational AI and intelligent assistants. Intelligent Automation Build workflow automation solutions. Develop AI-driven business process automation. Create intelligent document processing solutions. Integrate AI with enterprise business systems. Automate repetitive operational processes. Conversational AI Build AI chatbots and virtual assistants. Design conversational workflows.

Implement multi-channel AI solutions. Enable human-in-the-loop AI workflows. Model Development & Integration Develop and deploy machine learning models. Fine-tune AI models for business use cases. Build inference APIs and AI services. Support model lifecycle management. Mandatory

Technical Skills

Programming Languages Must Have Python SQL REST APIs JSON Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development. Generative AI Must Have OpenAI Azure OpenAI Prompt Engineering LLM Integration AI Assistants RAG Architecture Good to Have Claude Gemini Llama Models Mistral AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks Preferred LangChain Semantic Kernel LlamaIndex Hugging Face AutoGen CrewAI Machine Learning Must Have Scikit-Learn TensorFlow PyTorch Concepts Model Training Model Evaluation Model Deployment Feature Engineering NLP & Semantic Search Natural Language Processing Embeddings Vector Search Semantic Search Text Analytics Knowledge Retrieval Microsoft AI Stack Must Have Microsoft Copilot Studio Power Automate Azure AI Services Azure AI Foundry The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms Microsoft Azure Azure AI Services Azure OpenAI Azure AI Foundry Azure Functions Azure App Services Azure Storage Azure Machine Learning AWS (Preferred) SageMaker Bedrock Lambda S3 Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements. Automation & Integration Power Automate Workflow Automation API Integration Microsoft Graph API Intelligent Process Automation MLOps & DevOps Preferred Git Azure DevOps CI/CD Pipelines Docker Kubernetes Model Monitoring Model Versioning Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred) Experience in: Banking Corporate Banking Payments Risk Management Fraud Detection Insurance Financial Data Analytics Soft Skills

• Strong analytical mindset Innovation-driven approach Problem-solving skills
• Excellent communication skills Stakeholder management Team collaboration Educational Qualification B.E. / B.Tech.

MCA M.Tech. Computer Science Artificial Intelligence Data Science Machine Learning Preferred Certifications Microsoft Azure AI Engineer Associate (AI-102) <li normal"

Qualifications

BACHELOR OF COMPUTER APPLICATION, BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING, BACHELOR OF SCIENCE ( B.Sc Qualification ), BACHELOR OF SCIENCE (B.Sc)