Software Prompt AI Engineer

Type of Employment:

Full-time

Location:

Remote work

About Us:

We are an early-stage startup building a next-generation distributed cloud platform that revolutionizes how businesses manage their cloud resources. Our mission is to combine advanced technology with innovative distributed architecture to deliver a superior Multi Cloud and Hybrid Cloud experience. We're looking for passionate software developers to join our team and help shape the future of cloud computing.

About the Role:

We are seeking a talented and passionate Software Engineer with a strong background in Node.js and a keen interest in Artificial Intelligence, particularly in the areas of Prompt Engineering and Large Language Models (LLMs). The ideal candidate will play a crucial role in developing and implementing AI-powered features and applications, working across the full software development lifecycle.

Responsibilities:

Design, develop, and maintain robust and scalable backend services using Node.js.

Implement and optimize AI-driven functionalities, focusing on prompt engineering for various LLM applications.

Develop and manage Retrieval-Augmented Generation (RAG) pipelines to enhance AI model performance and accuracy.

Write clean, maintainable, and efficient code.

Participate in code reviews, contribute to architectural discussions, and help define best practices.

Troubleshoot, debug, and upgrade existing systems.

Stay up-to-date with the latest advancements in AI, LLMs, and prompt engineering.

Required Skills & Experience:

Strong proficiency in Node.js and extensive experience building scalable backend applications.

Solid experience with Python, particularly in the context of AI/ML development.

Implement and optimize AI-driven functionalities with a strong focus on Agentic AI principles, enabling autonomous decision-making and task execution.

Demonstrable interest or experience in Prompt Engineering for Large Language Models (LLMs).

Understanding and practical experience with Retrieval-Augmented Generation (RAG) pipelines.

Familiarity with various Large Language Models (LLMs) and their applications.

Experience with containerization (Docker, Kubernetes).

Experience with RESTful APIs, microservices architectures, and asynchronous programming.

Proficiency with database technologies (e.g., SQL, NoSQL).

Experience with version control systems (e.g., Git).

Strong problem-solving skills and an analytical mindset.

Excellent communication and teamwork abilities.

Bonus Points (Nice to Have):

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

Knowledge of natural language processing (NLP) concepts.

Contributions to open-source projects related to AI or Node.js.

Nice to Have:

Experience with React

Participation in open-source/SaaS projects.