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Tier-1 brand, metro locations, and mid-level ML/LLM demand drive high competition.
Requires enterprise AI, LLM, and PLM/manufacturing integrations so cross-industry transferability is low-high (industry-specific).
Explicit 6+ years and mandatory ML/LLM, Python, cloud, and enterprise integration skills imply high strictness.
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Design, develop, and deploy Agentic AI applications leveraging LLMs, RAG, and AI orchestration frameworks.
Build scalable AI services and reusable components integrated with enterprise applications like PLM and SAP.
Collaborate with business and IT teams to translate requirements into AI-driven solutions and lead end-to-end SDLC including deployment and production support.
Bachelor's or Master's degree in Computer Science, IT, AI/ML, or related field.
6+ years of software engineering experience with strong Python and backend development skills.
Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
Experience integrating enterprise applications and building scalable, production-ready software solutions.
Expertise in Agentic AI frameworks and advanced AI tooling such as LangChain, LangGraph, or Semantic Kernel.
Experience working with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
Background or familiarity with Engineering, PLM, Manufacturing, or Supply Chain business processes to align AI solutions with domain needs.