Data & AI Technical Lead

Role Overview

• Co-own technical architecture and system design
• Lead design of data and AI flows across heterogeneous systems
• Make and document architectural decisions independently
• Design and build MCP tools, RAG pipelines, and agent-facing APIs
• Develop backend services with FastAPI
• Set and uphold engineering standards across the team
• Mentor engineers across the team
• Own the evolution of the Data & AI domain architecture
• Lead technical execution of initiatives from discovery to production
• Act as the technical point of contact for initiatives within the domain
• Collaborate closely with other Technical Leads and Principal Engineers
• Drive engineering excellence in production

Requirements

• Strong Python engineering background
• Data architecture experience
• AI systems design
• Backend and API development with FastAPI or equivalent
• Event-driven architecture
• Docker and containerisation
• Technical leadership without authority
• AI-first development
• Ownership mindset
• Adaptability
• Delivery ownership
• Cross-functional collaboration
• Systems ownership mindset
• Experience with agent frameworks is a nice to have

Tech Stack

• Docker
• Python

Benefits

• Working from home
• Flexible hours
• Yearly performance bonus
• Paid medical insurance
• Daily lunch allowance
• Sport/Gym(Exercise) allowance
• Udemy unlimited subscription
• Onboarding plan and training
• Equipment support
• No dress code
• Gifts and rewards for birthdays, anniversaries, and personal milestones
• Happy hours, coffee time, online team building, company events, and much more
• Fresh fruit, snacks, coffee, and tea at the office