AI Engineer – Generative AI (9+ Years ) PAN India

HypTechie; India; On-site; INR 1,800,000 - 2,100,000; Full time

Job summary

HypTechie is seeking an experienced AI Engineer in India to design, build, and deploy enterprise-grade Generative AI solutions. The role requires strong hands-on execution, end-to-end ownership, and translating AI capabilities into measurable business outcomes within a regulated enterprise environment.

You will design and deploy GenAI solutions using Microsoft AI ecosystem, build enterprise copilots, and own delivery from use-case to production.

Qualifications

• 9+ years overall experience in software engineering / data science / AI.
• 2+ years hands-on experience delivering Generative AI / LLM solutions.
• Strong experience with Power Platform, Copilot Studio / Microsoft 365 Copilot, Azure AI Foundry & Azure OpenAI, Microsoft Purview.
• Strong proficiency in Python and SQL.
• Experience with prompt engineering, fine-tuning, and model optimisation.

Responsibilities

• Design and deploy Generative AI solutions using Microsoft AI ecosystem (Power Platform, Copilot Studio, Azure AI Foundry, Azure OpenAI).
• Build enterprise copilots and GenAI applications integrating structured and unstructured data.
• Own delivery from use-case definition to production deployment and monitoring.
• Translate business problems into scalable AI architectures with clear business impact.
• Develop AI/ML solutions using Python and SQL.
• Implement RAG, prompt engineering, agentic workflows, and LLM fine-tuning.
• Work with open-source GenAI frameworks (Hugging Face, CrewAI, LangChain-style tools).
• Integrate AI services via APIs, data connectors, and vector databases.
• Deploy and operate AI solutions on Azure (AWS/GCP exposure acceptable).
• Implement LLMOps / MLOps pipelines, including versioning, monitoring, and evaluation.
• Build and maintain CI/CD pipelines using GitHub and Azure DevOps.
• Ensure solutions are secure, scalable, and production-ready.
• Embed Responsible AI, security, and privacy controls into AI solutions.
• Ensure compliance using Microsoft Purview and enterprise governance standards.
• Work with risk, legal, and compliance teams in regulated environments.
• Act as a bridge between business and technical teams.
• Communicate complex AI concepts in clear, actionable terms.
• Provide delivery updates, trade-offs, and recommendations.

Skills

GenAI

LLMs

Python

SQL

NLP

MLOps

Governance

Tools

Power Platform

Copilot Studio

Azure AI Foundry

Azure OpenAI

Microsoft Purview

Job description

Job ID: 833240
Salary: ₹18-21 LPA
Location: Bangalore (Preferred) / PAN India - LTIM Office only
Experience: 9+ Years

Nice to Have:

• Experience in Pricing domain, preferably in Healthcare / MedCare
• Hands-on experience building AI-driven pricing solutions

Role Overview

We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade Generative AI solutions. The role demands strong hands-on execution, end-to-end ownership, and the ability to translate AI capabilities into measurable business outcomes within a regulated enterprise environment.

Key Responsibilities

AI Solution Design & Delivery

• Design and deploy Generative AI solutions using Microsoft AI ecosystem (Power Platform, Copilot Studio, Azure AI Foundry, Azure OpenAI).
• Build enterprise copilots and GenAI applications integrating structured and unstructured data.
• Own delivery from use-case definition to production deployment and monitoring.
• Translate business problems into scalable AI architectures with clear business impact.

Hands-on Engineering

• Develop AI/ML solutions using Python and SQL.
• Implement RAG, prompt engineering, agentic workflows, and LLM fine-tuning.
• Work with open-source GenAI frameworks (Hugging Face, CrewAI, LangChain-style tools).
• Integrate AI services via APIs, data connectors, and vector databases.

Platform, MLOps & DevOps

• Deploy and operate AI solutions on Azure (AWS/GCP exposure acceptable).
• Implement LLMOps / MLOps pipelines, including versioning, monitoring, and evaluation.
• Build and maintain CI/CD pipelines using GitHub and Azure DevOps.
• Ensure solutions are secure, scalable, and production-ready.

Governance & Responsible AI

• Embed Responsible AI, security, and privacy controls into AI solutions.
• Ensure compliance using Microsoft Purview and enterprise governance standards.
• Work with risk, legal, and compliance teams in regulated environments.

Stakeholder Collaboration

• Act as a bridge between business and technical teams.
• Communicate complex AI concepts in clear, actionable terms.
• Provide delivery updates, trade-offs, and recommendations.

Required Skills & Experience

Core Skills

• 9+ years overall experience in software engineering / data science / AI
• 2+ years hands-on experience delivering Generative AI / LLM solutions
• Strong experience with: Power Platform (Power Apps, Power Automate), Copilot Studio / Microsoft 365 Copilot, Azure AI Foundry & Azure OpenAI, Microsoft Purview
• Strong proficiency in Python and SQL
• Experience with prompt engineering, fine-tuning, and model optimisation

AI & Enterprise Readiness

• Strong understanding of LLMs, NLP, and ML fundamentals
• Experience deploying AI solutions in enterprise / regulated environments
• Knowledge of AI governance, security, and compliance frameworks