AI Engineer - HR

Job Title

AI Engineer - HR

Location(s)

Mumbai

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

Key Responsibilities
- Design, develop, and deploy end-to-end GenAI use cases and multi-step agentic
workflows spanning the HR hire-to-retire lifecycle (recruiting/TA, onboarding, core HR,
payroll & time, performance management, L&D, compensation & benefits,
career/succession planning, o􀇄boarding & retirement)
- Build full stack applications (UI, APIs, backend services) that operationalize AI models
and agents into tools usable by HR teams, managers, and employees
- Architect agentic workflows using orchestration frameworks that plan, reason, and
execute multi-step tasks autonomously, with human-in-the-loop checkpoints where
required
- Integrate LLMs with core HRIS/HCM systems(Workday) and case-management
platforms via APIs and middleware
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines and vector search
to ground AI responses in HR policy, benefits, and compliance content
- Partner with enterprise IT, architecture, security, and data governance teams on
integration design, security review, and infrastructure provisioning
- Work with HR business stakeholders to identify, prioritize, and scope AI/automation
opportunities
- Stand up CI/CD, monitoring, and observability for deployed AI agents and
applications
- Apply responsible AI practices — bias testing, explainability, guardrails, human
oversight — and stay aligned with HR/employment AI compliance requirements
- Produce technical documentation and architecture diagrams; support production issues and iterate post-launch

Technical Skills
- Languages: Python (primary), JavaScript/TypeScript, SQL
- AI / Agentic Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel,
CrewAI, or AutoGen (proficiency in at least two)
- LLM Platforms: OpenAI, Anthropic Claude, Azure OpenAI Service, Google Vertex AI
- RAG / Vector Search: Pinecone, Weaviate, Chroma, Azure AI Search, or pgvector
- Full Stack Development: React/Next.js or Angular (frontend); Node.js or Python
(FastAPI/Django) backend; REST and GraphQL API design
- Cloud & Infrastructure: Azure (preferred, given typical enterprise HR stack), AWS, or
GCP; Docker; Kubernetes
- Automation & Low-Code Platforms: Microsoft Power Platform (Power Automate,
Power Apps, Copilot Studio); UiPath or Automation Anywhere (RPA + AI)
- Integration / Middleware: MuleSoft, Boomi, or Azure Logic Apps for connecting AI
services to enterprise systems
- DevOps: CI/CD (GitHub Actions, Azure DevOps, or Jenkins); Git-based version control
- Databases: PostgreSQL/SQL Server/MySQL; NoSQL (MongoDB, Cosmos DB)
- Security: OAuth2/OIDC, SAML SSO, secure API design, secrets management

Functional / HR Domain Skills (Preferred)
- Working knowledge of the HR hire-to-retire lifecycle end to end: recruiting/talent acquisition, onboarding, core HR & employee data, payroll & time/attendance,
performance management, learning & development, compensation & benefits,
career/succession planning, and o􀇄boarding/retirement
- Familiarity with HCM/HRIS platforms such as Workday, SAP SuccessFactors, Oracle HCM Cloud, UKG, or ServiceNow HR Service Delivery — direct integration experience with any of these is a strong plus
- Awareness of the compliance landscape relevant to AI in employment decisions (e.g.,regulations on automated employment decision tools, EU AI Act "high-risk" classification for HR/employment systems, GDPR) and how it shapes responsible AI design
- Ability to translate HR business processes and pain points into technical requirements and solution designs
- Experience supporting change management, user adoption, and stakeholder training for new tools