Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation.
What we need to see:
Pursuing a Bachelor's degree or higher in Computer Science or other related field.
Experience with Python (required) and JavaScript,
Knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code.
Practical experience in AI, machine learning, or agent frameworks (e.g., LangChain, OpenAI Functions).
Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines, distributed messaging systems (e.g., Kafka) or event-driven architectures.
Excellent communication skills and a collaborative, proactive approach.