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Gen AI Developer
NA

Gen AI Developer at NA · Pune, Bengaluru (Bangalore) · 5 - 8 years · ₹4L - ₹10L / yr · Posted 25 Jul 2026

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Gen AI Developer

at NA

Agency job
5 - 8 yrs
₹4L - ₹10L / yr
Pune, Bengaluru (Bangalore)
Skills
AI Agents
Generative AI (GenAI)
skill iconPython
OpenAI
Prompt engineering


Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years


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)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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