Agentic AI

4 - 9 years

25 - 32 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Were looking for Agentic AI engineers to:

  • Design and develop AGENTIC AI applications with a focus on prompt engineering, LangChain, and agentic AI frameworks.
  • Build scalable, secure, and sustainable solutions using Python and modern programming techniques.
  • Integrate cloud platforms (e.g., Azure) to deploy and manage AI models effectively.
  • Collaborate with business teams to refine requirements and remove ambiguity for AI-powered solutions.
  • Conduct rigorous code reviews, testing, and debugging to ensure high-quality outputs.
  • Enhance existing AI solutions while exploring new technologies to improve user experience and business outcomes.
  • Contribute to architecture discussions and implement best practices for AI lifecycle management.

Your Team:

You’ll be working in the Agentic Products crew, as part of the AI Transformation Stream in WMPC. Our team leverages the latest AI technologies to deliver value-driven solutions and agents for AI Vision Big Rocks . As an AI Engineer, you’ll play a key role in driving innovation and shaping the future of agentS. We’re a team that values collaboration, creativity, and continuous learning.

Our ideal candidate

  • The ideal candidate will possess a robust expertise in Artificial Intelligence and Data Science, aligning with the advanced expectations for the 5-30 years experience band.
  • Proficiency in Artificial Intelligence encompasses a deep understanding of algorithms, natural language processing, and machine learning frameworks.
  • This expertise is critical for developing innovative AI solutions and enhancing automated decision-making processes within the organization.
  • Candidates should be adept at applying AI models to practical scenarios, such as predictive analytics and business intelligence enhancements.
  • A strong foundation in Data Science is essential, involving skills in statistical analysis, data visualization, and machine learning.
  • Professionals in this role are expected to analyze complex datasets, extract actionable insights, and communicate findings effectively to stakeholders.
  • Leveraging data to drive strategic decisions is a key responsibility, where knowledge of programming languages like Python or R will be beneficial.
  • Candidates should also demonstrate familiarity with advanced data handling techniques and tools such as SQL for database querying and management.
  • Experience with cloud platforms that support data science workflows is also necessary.
  • Collaboration with cross-functional teams to create data-driven strategies and solutions is essential.
  • Education is required at the master's level, specifically an M.Tech in Artificial Intelligence or an M.Sc in Data Science.
  • Having certifications such as the Microsoft Certified: Azure Data Scientist Associate or the IBM AI Engineering Professional Certificate is preferred.
  • Certifications validate the candidate’s expertise in the rapidly evolving field of data science and machine learning.

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