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Mid-level Bengaluru applied-AI role with broad product and customer-facing requirements and notable investors increases competition.
High domain specificity: applied-AI, agent workflows, and customer-facing production experience.
Explicit 2–4 years plus mandatory applied-AI production and customer-facing experience implies high shortlisting strictness.
Build and deploy agentic AI workflows to automate customer support tasks including classification, diagnosis, response drafting, and follow-up.
Design and maintain safe, human-in-the-loop AI systems with guardrails, evaluation suites, and escalation paths to ensure trustworthy support automation.
Collaborate directly with customers and internal teams to identify systemic issues and shift support tasks into reliable production software workflows.
2–4 years of professional software engineering experience.
Experience building production AI systems with language models, multi-step workflows, and agent memory.
Strong backend/platform/backend integration engineering skills including debugging SDKs, APIs, OAuth, webhooks, queues, and data stores.
Work location: Bengaluru; work hours aligned with US timings.
Experienced applied AI engineer who can leverage language models and coding agents for reliable, high-leverage automation with a focus on trust and failure analysis.
Comfortable working closely with customers to translate vague support problems into technical workflows and software solutions with measurable outcomes.
Skilled at modeling workflows for support functions with clear states, permissions, handoffs, and escalation, focusing on automating root causes rather than symptoms.