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Metro-based ML/AI generalist with broad full-stack and LLM skillset increases competition.
Specialized LLM, automation, and enterprise-integration skills somewhat limit cross-industry transferability.
Numerous explicit mandatory tech skills and platform requirements (n8n, GCP, LLMs) create strict filters.
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Build and ship AI and automation tools end-to-end, including agentic AI workflows, internal dashboards, user-facing AI products, and custom enterprise solutions.
Develop and maintain GCP-native backend services, frontend interfaces, and integrations across CRMs, ticketing, and communication systems.
Own the full lifecycle from idea through to live deployment, ensuring solutions actually solve business problems rapidly with short feedback cycles.
Proficient in Python and/or JavaScript with production-quality coding skills.
Hands-on experience with GCP services including Cloud Run, Functions, BigQuery, and Vertex AI.
Strong SQL skills with PostgreSQL, MySQL, or BigQuery.
Experience shipping real AI and LLM integrations (e.g., Claude, Gemini, GPT) and expertise with n8n automation platform.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Gurgaon, India; working UK shift hours.
Generalist engineer comfortable across full stack (backend, frontend, automation, AI integration), able to learn and adapt quickly.
Experienced with prompt engineering, AI output validation, AI security, and governance for production AI systems.
Capable of delivering fast, autonomous, end-to-end ownership; practical problem-solver focused on real-world AI/automation use cases rather than theory.