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Mid-level AI role, Bengaluru metro, and broad LLM/automation skillset create high competition.
Core AI automation and engineering skills are highly transferable across industries despite life-sciences context.
Explicit 2–5 years plus mandatory LLM familiarity and a demonstrable project portfolio increases selection strictness.
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Build AI-enabled consulting workflow automations using tools like Claude Code, Codex, VS Code, Python, and modern agent frameworks.
Deliver 1-2 AI delivery accelerators annually from prototype to internal deployment with measurable usage and time saved.
Integrate automations with Beghou systems (SharePoint, GitHub, Azure, LLM endpoints) adhering to governance and support early rollout users.
2-5 years combined software engineering and AI/automation experience.
Proficiency in Python or TypeScript and familiarity with LLM APIs (e.g., Claude, GPT) and automation tools (e.g., n8n, Zapier).
Experience building AI projects such as agents, RAG systems, MCP servers or LLM-powered tools, professional or personal.
Work Experience Required: 2-5 years across software engineering and AI/automation tinkering.
AI-native builder comfortable shipping rapid AI prototypes and iterating with end users under ambiguous requirements.
Full-stack engineering background with hands-on AI automation and experience integrating with business workflows.
Fast learner of business context to design effective AI automation solutions, preferably with some consulting or analytics exposure.