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Team Lead Software Engineer - Generative AI

Seequent

Christchurch, Canterbury Region, New Zealand · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
7+ yaş
Maaş
Açılışlar
1
Yayınlandı
1 gün önce
Çalışma modu
Ofiste
Eğitim
Bachelor’s degree in Computer Science or Engineering or equivalent
Sürdürmek
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İş tanımı

About Seequent

Seequent empowers organisations to better understand subsurface environments, enabling faster and more confident decision-making. As a pioneer in Earth sciences technology, Seequent supports sustainable extraction of critical minerals, infrastructure design, renewable energy sourcing, and environmental impact reduction across 145+ countries, with headquarters in New Zealand.

Role Overview

We are expanding our AI capabilities within Seequent Evo, a leading geoscience data platform, and seek a Team Lead to spearhead an AI engineering group. This role fuses advanced expertise in Generative AI with leadership to guide the development, integration, and scaling of cutting-edge GenAI features in our platform.

Key Responsibilities

  • Lead and nurture a high-calibre AI engineering team, fostering collaboration and growth.
  • Provide coaching and mentorship to engineer team members, aligning skills to project goals.
  • Manage task allocation and spearhead recruitment to expand AI capabilities.
  • Drive technical architecture and solution design for complex GenAI systems, ensuring compliance with engineering standards.
  • Oversee application of modelling approaches and AI design patterns, managing trade-offs and guaranteeing functional, security, and reliability standards.
  • Conduct code and design reviews to ensure consistency and quality.
  • Supervise development, testing, deployment, and maintenance of production-grade GenAI applications, including Retrieval-Augmented Generation (RAG), semantic search with vector retrieval, and agent-oriented architectures (e.g., MCP, A2A).
  • Ensure scalability, robustness, security, and maintainability of AI systems.
  • Lead project delivery for medium-scale initiatives, handling scope, risk, timelines, and stakeholder coordination.
  • Collaborate closely with Product and Design teams to achieve impactful customer outcomes.
  • Manage release planning, quality assurance, and retrospectives.
  • Advocate for engineering best practices in software development, DevOps, security, continuous integration, and governance, improving processes and tooling.

Qualifications & Experience

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • At least seven years of software engineering experience with senior or leadership roles.
  • Proven team leadership capabilities, including mentoring and coaching engineers.
  • Hands-on experience designing, building, and operating production systems powered by Generative AI and large language models (LLMs).
  • Expertise in Generative AI, LLM application development, and RAG technologies.
  • Proficiency with semantic search, vector database technologies, and agent-based architectures such as MCP or A2A.
  • Experience with cloud-native development, microservices (Docker, Kubernetes, APIs like FastAPI), and CI/CD pipelines.
  • Strong stakeholder communication skills and ability to balance technical contributions with leadership tasks.

Additional Information

This is an office-based position requiring a minimum of two days per week attendance at our Toronto office.

Diversity and Inclusion

Seequent is dedicated to fostering a diverse, equitable, and inclusive environment where everyone has a fair chance. We encourage candidates from all backgrounds and abilities to apply, even if they don't meet every listed qualification.

Work Culture and Benefits

  • Be part of an innovative and enthusiastic team committed to delivering meaningful change.
  • Engage in a culture of collaboration, ownership, and open communication.
  • Enjoy a supportive office environment with amenities like coffee, games, and frequent social events.
  • Receive competitive compensation, flexible work options, paid volunteer days, employee share purchase programs, and opportunities for continuous learning and career advancement.

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