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Mid-level GenAI role in Bangalore at a known consulting firm attracts many applicants despite specialized skills.
Core GenAI, Azure and production deployment skills transferable across industries but require specific platform expertise.
Explicit 5–10 years plus mandatory Python, LLM, Azure, Databricks, and deployment skills increases filtering strictness.
Design, develop, integrate, and deploy enterprise AI, Generative AI, Agentic AI, ML, and automation solutions using Python and modern API/framework technologies.
Build AI agents and workflows leveraging LLMs, prompt engineering, tool/function calling, RAG, and enterprise data sources, supporting integration with platforms like Databricks, Azure OpenAI, Salesforce, SAP, and enterprise identity solutions.
Own the full lifecycle from requirements and design through testing, deployment, production support, and documentation while collaborating closely with architects, business, data engineering, and technology teams.
5+ years overall software engineering, automation, data, or AI development experience; 3+ years strong Python development experience.
Bachelor's or master's degree in computer science, engineering, IT, data science, or related field; equivalent industry experience considered.
Hands-on experience with Generative AI/LLM based application development, Azure services including Azure OpenAI, container deployment (Docker), and CI/CD practices.
Experience with REST APIs, system integration, source control (Git/GitHub), authentication/authorization (Okta, Entra ID/Azure AD), and enterprise platform integrations (Salesforce, SAP, Power BI).
Experienced mid to senior level engineer comfortable with owning end-to-end AI and automation solution delivery in enterprise environments.
Strong background in Python and cloud-native AI application development with Azure, including containerization and LLM frameworks like LangChain or equivalent.
Familiarity with enterprise system integrations, secure deployment practices, and working in hybrid team models under technical leadership.