- Compensation: 12-month salary plus a 2.1-month performance bonus.
- Leave: 18 days of annual leave and 4 days of "child-friendly leave" for family care.
- Health: Comprehensive medical, dental, optical, and annual health screening coverage, plus gym membership claims.
- Work Model: Primarily on-site (Monday–Friday) with flexible work-from-home options available upon manager approval.
Job Summary: We're looking for a Senior AI & Automation Builder to own the full journey from business problem to deployed AI/automation solution. You'll sit directly with business stakeholders to understand what they actually need, decide what should be automated, AI-assisted, or left as-is, and build the solution yourself.
This is a hybrid role for someone who thinks like a BA or PM but builds like an engineer, comfortable running a discovery conversation with a business leader one day and configuring an AI agent workflow the next.
Responsibilities:
- You will act as the Single Task Owner (STO) for complex or ambigious initiatives that owns the end-to-end from discovery, solutioning, testing, deployment and operational readiness.
- Lead discovery conversations directly with business stakeholders to understand real operational needs, not just the stated request.
- Design, build, and configure AI-driven automation: LLM based workflows, conversational and AI agents, and low-code orchestration where appropriate.
- Decide the right treatment for each problem (full automation, AI-assisted with human in loop, or best left manual ) and be able to explain your reasoning.
- Act as the technical point of contact between Enterprise and Tech team; reviews the AI process maps and build decisions before go live. Work closely with the Solution Architect to establish and maintain an approved pattern boundary.
- Set the documentation and technical standard for the wider team, and review others' work before it goes live.
- Help prioritize and triage incoming automation requests across the business.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience1.
- Min. 5- 8 years of professional software engineering experience, with strong full-stack depth in Next.js/React, Node.js, and TypeScript
- Preferred but not mandatory for candidate with experience combining business analysis, product, or consulting-style discovery work with hands-on automation or AI building
- Demonstrated hands-on use of AI developer tools in production workflows — CODEX, GitHub, MCP, or equivalent. This is the core technical requirement.
- Experience designing and delivering REST and/or GraphQL APIs
- Familiarity with CI/CD pipelines and enforcing code quality standards (TypeScript strict mode, linting, testing)
- Experience supporting multi-regional or multi-tenant platforms
- Strong Cloud experience such as AWS or Azure.
- Strong communication skills and able to work directly with cross-functional and non-technical stakeholders
- Experience in telco, banking, or another regulated B2B enterprise environment is an advantage