Senior GenAI/ML Application Developer

5 - 10 years

5 - 9 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a passionate and skilled senior GenAI Application Developer to join our growing Enterprise AI team. In this role, you will be responsible for designing, developing, and deploying intelligent applications that leverage Generative AI capabilities to solve real-world business problems. You will work closely with our Data Scientists, ML Engineers, and other Cross-functional teams to build scalable, secure, and user-centric solutions, with the opportunity to work on cutting-edge AI technologies.

Responsibilities

  • Design and develop applications that integrate Generative AI models such as OpenAI, Gemini, Claude LLMs, into enterprise workflows.
  • Build APIs, microservices, and user interfaces that enable seamless interaction with GenAI-powe'red features.
  • Collaborate with data scientists, product managers, and UX designers to translate business needs into technical solutions.
  • Deploy Agentic AI workflows and use cases by leveraging frameworks and tools such as LangChain, LangGraph, LlamaIndex, Notion, or similar.
  • Implement prompt engineering, retrieval-augmented generation (RAG), and model evaluation strategies.
  • Ensure application performance, scalability, and security across cloud and on-prem environments.
  • (Optional) Develop and integrate GenAI capabilities within the

    ServiceNow

    platform, including Virtual Agents, Flow Designer, and custom applications.
  • Maintain documentation, conduct code reviews, and contribute to best practices in GenAI application development.

To be successful in this role you have:

  • 5+ years of related experience with a Bachelors degree, Master s degree or PhD or equivalent work experience.
  • 5+ years of experience working with a programming language (JavaScript, Python, Java, etc.)
  • Experience with RESTful APIs, cloud platforms (Azure, AWS, GCP), and containerisation (Docker, Kubernetes)
  • Experience integrating microservices, using SDKs for enhancing platform capabilities, building cloud native applications on Azure/Databricks.
  • 2+ years of experience implementing generative AI models/services in enterprise workflow applications
  • Hands-on experience with GenAI and AI Agents frameworks (e.g., LangChain, LlamaIndex, Langgraph, Autogen )
  • Understanding of prompt engineering, vector databases (e.g., FAISS, Pinecone), and RAG pipelines.
  • Strong communication and collaboration skills
  • Experience with ServiceNow Application development (e.g., App Engine Studio, Virtual Agent Designer), is a plus
  • Experience with Agentic AI framework or NASK framework in Servicenow AI platform, is a plus

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