AI Developer

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