Specialist, Data- Software Engineering

Merck Merck · Pharma · Telangana, India

This role focuses on designing, developing, and maintaining data engineering solutions, backend services, and AI-powered applications, specifically involving AI agents and GenAI development with LLM-based solutions and RAG. The role also involves data pipelines, APIs, and cloud deployment within an enterprise setting.

What you'd actually do

  1. Design, build, and maintain data pipelines, ingestion workflows, and transformation processes that support scalable enterprise data solutions
  2. Design and implement AI-powered features and intelligent workflows within applications
  3. Integrate applications with internal and external APIs, enterprise platforms, and data engineering ecosystems to support scalable enterprise solutions
  4. Deploy and support applications in cloud environments such as AWS or Azure
  5. Work closely with architects, Tech Leads, product owners, and cross-functional teams

Skills

Required

  • Python
  • Java
  • JavaScript/TypeScript
  • back-end development
  • API design
  • integration
  • scalable, maintainable, and well-documented code
  • testing
  • debugging
  • code reviews
  • AI or LLM-based solutions in enterprise settings
  • prompt engineering
  • OpenAI APIs
  • LangChain

Nice to have

  • data pipelines
  • ingestion workflows
  • transformation processes
  • data services
  • APIs
  • backend components
  • structured and unstructured data
  • data processing
  • application code
  • performance tuning
  • AI agents
  • chatbots
  • copilots
  • automation flows
  • retrieval-augmented generation (RAG)
  • search
  • structured/unstructured data integration
  • internal and external APIs
  • enterprise platforms
  • data engineering ecosystems
  • data ingestion
  • retrieval
  • search workflows
  • reporting
  • analytics
  • AI-driven use cases
  • back-end services
  • AI services
  • AWS
  • Azure
  • CI/CD pipelines
  • automation
  • release processes
  • monitoring
  • troubleshooting
  • operational support
  • architects
  • Tech Leads
  • product owners
  • cross-functional teams
  • Agile ceremonies
  • sprint planning
  • stand-ups
  • retrospectives
  • demos
  • business requirements
  • DevSecOps Engineering
  • Secure Platform Development
  • automated security checks
  • Infrastructure as Code (IaC)
  • configuration management
  • security-by-design principles
  • automation scripts
  • tooling
  • build
  • release
  • operational efficiency
  • vulnerability assessments
  • remediation
  • application and infrastructure components

What the JD emphasized

  • AI Agent & GenAI Development
  • LLM-based solutions
  • retrieval-augmented generation (RAG)
  • prompt engineering
  • OpenAI APIs, LangChain, or similar

Other signals

  • AI Agent & GenAI Development
  • LLM-based solutions
  • retrieval-augmented generation (RAG)