About the role

Aplyr's Quick Take

This role is for a Lead Software Engineer focused on developing AI applications using Large Language Models. You'll design scalable architectures and implement APIs and microservices, while also providing technical support to client teams. It's a hands-on position requiring strong backend engineering skills and experience in cloud environments.

Good fit

Ideal candidates have several years of backend engineering experience, particularly in Python, Node.js, or Java, and familiarity with GenAI frameworks. A collaborative mindset and the ability to navigate complex enterprise environments will help you succeed here.

Worth noting

The role emphasizes Agile practices and continuous improvement, which may appeal to those who thrive in dynamic settings. However, the spec is vague on day-to-day responsibilities, which could be a concern for some applicants.

Lead Software Engineer (AI Expertise)

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Key Responsibilities:

• Design and develop AI powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components.

• Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness.

• Implement APIs, microservices, and AI pipelines within an industrial cloud environment.

• Support client teams through scoping, technical expertise, architecture reviews, audits, and best practice guidance.

• Ensure solution quality, security, compliance, and observability, following governance and risk management standards.

Required Profile:

• Strong backend engineering experience in Python, Node.js, or Java.

• Proficiency with GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI API.

• Hands on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production grade industrial environments.

• Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset.

• Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus.

Team Life & Ways of Working:

• Embrace and respect Agile rituals, contributing actively to continuous improvement of team processes and collaboration.

• Participate in workload estimation for backlog items, challenging complexity and scope when needed.

• Contribute to sprint planning and allocation of tasks, supporting the delivery of incremental value and modernization of components (Evergreen approach).

Behavioural Skills:

Planning & organizing,

Teamwork & Collaboration,

Customer Focus,

Continuous learning

Ability to rapidly learn and take advantage of new concepts, business models, and technologies

Working with internal and external stakeholders in an international environment.

Product approach mindset

Skills & Tags

Aplyr's read

Michelin excels in tire innovation and sustainable mobility, attracting professionals passionate about cutting-edge technology and environmental responsibility.
Synthesized from recent postings & public sources

What's promising

•Michelin is a leader in tire technology innovation, consistently pushing industry boundaries.
•The company is deeply committed to sustainability, aligning with global environmental goals.
•Michelin offers diverse career opportunities across various global locations and functions.

What to watch

•The tire industry faces volatility due to fluctuating raw material prices.
•Adapting to rapid changes in automotive technology can be challenging.
•Global operations may lead to complex logistical and regulatory hurdles.

Why Michelin

•Michelin's dedication to sustainable mobility sets it apart in the automotive sector.
•The company has a strong focus on research and development in tire technology.
•Michelin's global presence provides employees with international career opportunities.

Aplyr’s read is generated by AI from public sources. Was it useful?