Lead Software Engineer

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 Experience - 5-7 years