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Mid-level Bangalore AI-engineer combining popular ML and backend skills, resulting in moderate competition.
Requires GTM and CRM domain knowledge plus ML engineering, so transferable but moderately industry-specific.
Explicit 2–5 years plus mandatory AI production, Python/TypeScript, and integration experience increases filter strictness.
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Build and own production-ready AI agents, workflows, and integrations to enhance Sales team productivity and automate GTM processes.
End-to-end ownership of solutions from problem identification with Sales teams to design, deployment, and iterative improvements based on usage and business impact.
Collaborate across Sales, Product, and Engineering to develop AI-native systems integrating with CRM and other business tools for enhanced GTM efficiency.
2 to 5 years of software engineering or applied AI experience with production system ownership.
Strong proficiency in Python or TypeScript, backend services, API integration, and automation workflow development.
Experience deploying AI-powered applications with knowledge of monitoring, reliability, and iteration.
Based in Bengaluru or willing to relocate; hands-on experience with platforms like Salesforce, HubSpot, Slack, Gmail; familiarity with AI tools like OpenAI, LangChain, etc.
Experienced in building AI-driven backend and automation systems specifically for GTM (Go-to-Market) or Sales operations.
Operates with high ownership and bias for action, capable of turning ambiguous operational problems into scalable technical solutions.
Comfortable working closely with Sales and business stakeholders to define success metrics and iterate solutions for measurable business impact.