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Tier-1 brand, metro Bangalore, and a popular mid-level AI engineer role increase applicant competition.
Core GenAI engineering skills are broadly transferable, but consulting/MBA preference adds moderate domain specificity.
Explicit 5+ years, mandatory GenAI, Python, cloud, and full-stack skills enforce strict filters.
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Design, develop, and deploy AI-powered applications including LLMs, RAG architectures, multi-agent systems, and orchestration frameworks.
Build backend services, APIs, integrations, and user interfaces for scalable AI solutions ensuring quality, performance, and cost-efficiency.
Collaborate with architects, engineers, and business stakeholders while contributing to reusable frameworks and engineering best practices.
5+ years of experience in AI engineering or related roles.
Strong expertise in Generative AI: LLMs, prompt engineering, RAG, embeddings, vector DBs, tool calling, and frameworks like LangChain or similar.
Proficiency in Python and API development frameworks such as FastAPI or Flask; experience with frontend technologies like React or Streamlit.
Experience with cloud platforms Azure, AWS, or GCP, containerization (Docker), and CI/CD practices; MBA degree required.
Experienced in designing production-grade AI solutions integrating foundation models with enterprise systems.
Comfortable working in cross-functional teams with architects, engineers, and business stakeholders focused on scalable AI applications.
Knowledgeable in AI governance, responsible AI practices, and evaluation/observability tools to ensure reliable AI operations.