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.