# Python Team Lead - AI & Automation

**Company:** [Intetics](https://jobs.workable.com/companies/gDvZSRWtedxcHZawvZWQAz.md)
**Location:** Remote
**Workplace:** remote
**Department:** Python

[Apply for this job](https://jobs.workable.com/view/febd73b0-57ab-4888-b853-dc57a9965cca)

## Description

**Intetics Inc.**, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced **Python Team Lead** to join our dynamic team on a full-time basis.  
**  
About the Client**

Our client is an international provider of intellectual property services and technology solutions, helping businesses protect and manage innovations through patent translation, international filing, patent research, and renewal services.

**About the Project**

The project focuses on replacing complex, labour-intensive backend business processes with Python-based automation and LLM-powered solutions.

You will join as the first engineer and Team Lead of a growing contractor team, establishing the technical foundations and helping shape how the team works and delivers. You will collaborate closely with an AI & Automation Product Manager with experience at Meta, turning business challenges into practical solutions.

This is a hands-on leadership role requiring strong Python expertise, excellent communication skills, and the confidence to take ownership of problems from discovery through production.

**Responsibilities**

-   Lead the technical delivery of automation initiatives, taking responsibility for solution quality and delivery outcomes.
-   Work closely with the Product Manager and business stakeholders to understand existing 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, with 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.
-   Proactively 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.

## 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.
-   Strong ownership: the ability to independently drive problems from initial investigation to a working production solution.
-   Experience collaborating directly with Product Managers and business stakeholders, 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 effectively 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 Have**

-   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.