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Supercoder is an AI-powered career development platform that connects developers worldwide to remote job opportunities with competitive pay.

• Type of work: 100% Full-time remote

AI-powered chatbot service that provides real-time health consultations based on patient medical data. Our core technology utilizes specialized AI models for medical consultation, incorporating data learning and a user-friendly interface. Founded by an experienced CEO with a background in operating a cancer rehabilitation hospital (anual revenue of 15M, 2024) and a medical marketing company with a network of over 200 hospitals, we aim to solve the unmet needs of patients seeking reliable health information. We leverage the Langgraph framework and a Retrieval-Augmented Generation (RAG) system, utilizing models like Gemini on Google Vertex AI and integrating with APIs.

Our initial model shows high user retention, and we are focused on expanding our capabilities by incorporating medical mydata to provide even more personalized and accurate consultations.

Key Responsibilities:

• Design, develop, and deploy multi-agent systems based on the Langgraph framework.
• Integrate and utilize various APIs.
• Build and improve RAG (Retrieval-Augmented Generation) systems using Vector Databases.
• Develop and operate services on the Google Cloud Platform (GCP) environment.
• Train and fine-tune AI models (e.g., Gemini).
• Improve and stabilize service performance.
• Collaborate with the development team and resolve technical issues.

Qualifications:

• Experience in AI agent development.
• Experience developing with Langgraph or similar multi-agent frameworks.
• Experience integrating and utilizing various APIs.
• Experience using Vector Databases.
• Experience in development and deployment on the Google Cloud Platform (GCP) environment.
• Proficient in Python programming.
• Experience using version control systems such as Git.
• Strong problem-solving skills and excellent communication abilities.

Preferred Qualifications:

• 3+ years of experience in AI development.
• Experience using Google Vertex AI.
• Experience using container technologies such as Docker and Kubernetes.

Working Conditions:

• Employment Type: Full-time or Part-time

~ Hw to Apply 🔥

Heres Whats Next (Takes Only 3-5 Minutes):

• Step 1: Set up your Supercoder profile (Required) by uploading your CV first using the extract feature, then review and adjust details later
• Step 2: Search for the "Machine Learning Engineer" role and apply.

To ensure your profile gets reviewed and shortlisted ASAP, please use this link: https://bit.ly/Sign-upNau and carefully follow the outlined steps. This will help us streamline the process and prioritize your application.

Looking forward to hearing from you!