Job description

Job Summary

The GenAI / AI / ML Developer will be responsible for designing, developing, and deploying AI-powered HR Technology solutions, Proof of Concepts (POCs), accelerators, and enterprise applications leveraging modern AI ecosystems including Microsoft Azure AI, Google Cloud AI, OpenAI, Anthropic Claude, Sarvam AI, and emerging AI technologies.

The role will focus on building conversational AI agents, multi-agent systems, AI copilots, employee experience platforms, intelligent workflow automation, decision support systems, and advanced analytics solutions. The individual will work directly with internal HR stakeholders, business leaders, technology teams, and strategic partners including Microsoft, Google, Sarvam AI, and other AI solution providers.

Key Responsibilities

AI Solution Design & Development
Design and develop AI/GenAI-based HR solutions and accelerators.
Build enterprise-grade AI agents, copilots, and intelligent assistants.
Develop scalable POCs and MVPs for HR transformation initiatives.
Convert business use cases into deployable AI solutions.
Agentic AI & LLM Engineering
Design and implement Agentic AI and multi-agent workflows.
Develop RAG (Retrieval Augmented Generation) architectures.
Integrate OpenAI, Claude, Gemini, Sarvam AI, and Azure AI models.
Optimize prompts, workflows, memory, and orchestration frameworks.
AI Platform & Integration
Integrate AI solutions with enterprise applications, APIs, HR systems, and cloud platforms.
Deploy AI workloads on Azure and GCP environments.
Implement scalable, secure, and compliant AI architectures.
Innovation & Research
Evaluate emerging AI tools, frameworks, and models.
Conduct technology benchmarking and prototype new capabilities.
Develop reusable AI assets and accelerators.
Partner & Stakeholder Management
Collaborate with Microsoft, Google, Sarvam AI, OpenAI, Anthropic, and other ecosystem partners.
Participate in architecture reviews, workshops, and technical assessments.
Present solution approaches and POC outcomes to leadership teams.

Skill Requirements

Mandatory Skills

Python Programming
Generative AI & LLM Fundamentals
Prompt Engineering
OpenAI APIs
Claude APIs
Gemini Models
RAG Design Patterns
Vector Databases
LangChain / LangGraph
Semantic Kernel
REST APIs & Microservices
AI Solution Architecture
Azure AI Services
GCP AI Services
Machine Learning Fundamentals
Git & CI/CD

Preferred Skills

Multi-Agent Architecture
Microsoft Copilot Studio
Microsoft Agent Framework
Azure AI Foundry
Vertex AI
Sarvam AI Platform
GraphRAG
Knowledge Graphs
MLOps
Kubernetes
HR Technology Domain Knowledge

Other Requirements

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Applied Skills: Build AI Agents with Azure AI Foundry
Google Professional Machine Learning Engineer
Google Generative AI Engineer Learning Path
Databricks Generative AI Fundamentals
LangChain / Agentic AI Certifications (if available)
Responsible AI Certifications
Prompt Engineering Certifications

Education & Experience

Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related discipline.
5-9 years overall IT experience.
Minimum 2-3 years of hands-on Generative AI / AI / ML solution development experience.
Experience developing enterprise-grade AI applications and POCs.

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