Key Responsibilities :

- Lead the design and implementation of complex, scalable, and high-performance systems and architectures.

- Tackle challenging engineering problems, such as distributed systems, real-time data processing, and high-concurrency platforms.

- Drive research and development of new technologies, frameworks, and methodologies, especially in the domain of Large Language Models (LLMs) and Agentic architectures.

- Collaborate cross-functionally with product, data science, and infrastructure teams to deliver robust solutions.

- Mentor and guide fellow engineers, setting high standards for engineering excellence and best practices.

- Proactively identify architectural bottlenecks and propose innovative solutions.

- Stay abreast of the latest trends in AI, machine learning, and agentic systems, and drive their adoption where relevant.

Requirements :

- 8+ years of professional experience in software engineering, with a proven track record of solving complex architectural challenges.

- Deep expertise in designing and building scalable, distributed systems.

- Hands-on experience with LLMs, agentic systems, and advanced AI/ML architectures.

- Strong research skills; ability to independently evaluate and implement new technologies.

- Proficiency in one or more programming languages such as Python, NodeJS or Go.

- Experience with cloud platforms (AWS, GCP, Azure) and modern DevOps practices.

- Excellent problem-solving, communication, and leadership skills.

- Experience mentoring teams and driving engineering culture.