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.





certificate

We use cookies to analyze data and make your experience on our website better. More about our Cookie Policy and GDPR Privacy Policy