Python Team Lead - AI & Automation

Intetics

12d

About The Position

Intetics Inc. is seeking a Python Team Lead for a full-time role focused on AI and automation. The client is an international provider of intellectual property services and technology solutions, including patent translation, international filing, patent research, and renewal services. The project aims to replace complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions. You will be the first engineer and Team Lead of a growing contractor team, establishing its technical foundations and shaping how the team works and delivers. Working closely with an AI & Automation Product Manager and business stakeholders, you will turn business challenges into practical solutions. This is a hands-on leadership role that combines strong Python expertise, communication, and ownership of problems from discovery through production.

Requirements

Strong commercial experience building and maintaining production systems with Python.
Proven experience leading an engineering team while remaining actively involved in technical design and development.
Excellent interpersonal and communication skills, including active listening, constructive feedback, and effective conflict resolution.
Ability to independently drive problems from initial investigation to a working production solution.
Experience collaborating directly with Product Managers and business stakeholders and translating business goals into technical delivery.
Ability to organise team workloads, delegate effectively, support engineers, and maintain accountability for commitments.
Experience delivering backend automation, system integrations, or solutions that replace manual business processes.
Practical experience integrating LLMs into applications or automated workflows.
Strong backend engineering fundamentals, including APIs, databases, data processing, and reliable error handling.
Experience with automated testing, Git, and production deployment practices.
Ability to work with evolving requirements, make pragmatic decisions, and explain technical trade-offs.
Strong spoken and written English sufficient to lead discussions, clarify complex requirements, and confidently challenge assumptions.

Nice To Haves

Experience building a new engineering team or establishing delivery processes from scratch.
Experience interviewing and onboarding engineers.
Experience with document processing, information extraction, or document-heavy workflows.
Experience evaluating LLM outputs for accuracy, reliability, latency, and cost.
Experience with workflow orchestration, background jobs, and asynchronous processing.

Responsibilities

Lead technical delivery of automation initiatives and take responsibility for solution quality and delivery outcomes.
Work with the Product Manager and business stakeholders to understand workflows, clarify requirements, and define priorities.
Translate complex business problems into actionable technical plans and clearly scoped tasks.
Design and develop Python services, automated workflows, and integrations with existing systems and APIs.
Apply LLM capabilities where they provide measurable value, using appropriate validation and human review.
Establish engineering standards, development practices, and a collaborative team culture.
Guide and mentor engineers, delegate responsibilities, and provide constructive feedback and code reviews as the team grows.
Identify risks, resolve blockers, and communicate progress and trade-offs clearly.
Lead technical discussions, handle disagreements constructively, and help stakeholders reach informed decisions.
Ensure solutions include appropriate testing, monitoring, error handling, and production support.