AI Automation Engineer

Jobtailor

Bengaluru

On-site

INR 900,000 - 1,300,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru is seeking a software/AI enthusiast to build AI-enabled consulting workflows. You will prototype rapid solutions using Claude Code, Codex, Cursor, and n8n, integrate with SharePoint, GitHub, and Azure, and document architecture for future teams.

You will iterate with the consulting team during early rollout, measure usage, and own delivery accelerators from build to deployment. A strong full-stack background and AI project portfolio are highly valued.

Qualifications

2–5 years of combined experience across software engineering and AI/automation tinkering.
Full-stack background plus hands-on AI projects (personal or professional).
Demonstrable portfolio of AI projects — agents, RAG systems, automations, MCP servers, LLM tools.
Familiarity with at least one LLM API (Claude, GPT, Gemini) and an automation tool (n8n, Zapier, Make etc.).
MBA or equivalent business training is a plus but not required.

Responsibilities

Build AI-enabled versions of consulting workflows using Claude Code, Codex, Cursor, VS Code, n8n, Python and modern agent frameworks.
Prototype quickly and ship a first working version in days, then iterate with the consulting team.
Instrument automations to measure usage and time saved.
Own the technical end of 1–2 delivery accelerators yearly from build to internal deployment.
Integrate with Beghou systems (SharePoint, GitHub, Azure, approved LLM endpoints) under AI governance.
Document architecture, prompts, limitations, and usage for future extension.
Support end users during early rollout (bug triage, usability fixes, minor features).

Skills

Python Programming

Full-Stack Engineering

AI Project Development

Automation Tool Integration

LLM API Familiarity

Prototyping

Bug Triage

Documentation

Education

MBA or equivalent business training

Tools

Claude Code

Codex

Cursor

VS Code

N8n

SharePoint

GitHub

Azure

Zapier

Make

Job description

• Build AI-enabled versions of consulting workflows using tools like Claude Code, Codex, Cursor, VS Code, n8n, Python, and modern agent frameworks (RAG, MCP servers, orchestration layers)
• Prototype quickly — ship a first working version in days, then iterate tightly with the consulting team that will use it
• Instrument automations so we can measure usage and quantified time saved
• Own the technical end of 1–2 delivery accelerators each year, from first build through internal deployment
• Integrate with Beghou systems (SharePoint, GitHub, Azure, approved LLM endpoints) under the governance rules set by the AI team
• Document what you build — architecture, prompts, known limitations — so others can extend it
• Support end users during early rollout (bug triage, usability fixes, minor feature additions)

Requirements

2–5 years of combined experience across software engineering and AI/automation tinkering
Strong candidates often have a full-stack engineering background (Python, JavaScript, or similar) plus hands-on personal or professional AI projects
Demonstrable portfolio of AI projects — agents, RAG systems, automations, MCP servers, LLM-powered tools — whether professional or personal
Familiarity with at least one LLM at the API level (Claude, GPT, Gemini) and at least one automation tool (n8n, Zapier, Make, or custom Python)
MBA or equivalent business training is a plus but not required — build experience is valued over credentials

Core Competencies

Demonstrates expertise in building AI-enabled consulting workflows and integrating automation tools, with a strong foundation in full-stack engineering and hands-on experience with AI projects. Capable of rapid prototyping, documentation, and user support during rollout phases.

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