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Metro location, broad AI/full-stack skillset, and unspecified experience increase candidate competition.
Low: LLM, API, and automation engineering skills transfer well across industries and product contexts.
High: portfolio, specific LLM/tool experience, coding skills, and a practical take‑home challenge are mandated.
Own end-to-end delivery of AI products, internal tools, and automations from idea to launch and improvement.
Build, deploy, and maintain AI systems and integrations independently across various departments (sales, marketing, operations, HR, finance).
Ensure adoption, reliability, documentation, and clear communication with stakeholders on progress and trade-offs.
Strong coding skills in Python and/or JavaScript/TypeScript with practical experience in APIs, databases, authentication, and deployment.
Experience building and shipping a working application, agent, or automation independently with clear personal contribution.
Experience working with LLMs for tool calling, retrieval or persistent context, and output quality checks.
Location Requirement: Mumbai onsite. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in defining and delivering small, practical AI-enabled workflows and integrations independently without a development team.
Able to work directly with stakeholders to clarify ambiguous requests and own solutions that are adopted and improve measurable business outcomes.
Skilled at diagnosing system failures, ensuring dependable operation, and communicating realistic progress and constraints to technical and non-technical stakeholders.