Company Description: At SimuXAI, we are a brand-new startup in pioneering the next LLM AI tools targeted at simplifying CAE simulations. We handle open-source CAE software and also support proprietary tools. Validating existing open-source code and making it available through our chatbot is key. Our goal is to offer our end user a tool that can handle complex physical simulations without requiring any prerequisite knowledge of the software. We strive for easy adoption, clear expectations, and a reliable code base. Role Description: We are looking for a skilled Backend Developer responsible for workflow and graph development using LangGraph, open-source LLMs like Llama, and LLM sources such as Groq. You will collaborate closely with our AI and machine learning to design, implement, and deploy backend solutions that power our AI-driven applications. We are looking for someone who is excited and dedicated to building an intuitive LLM tool to fit this unique niche. Someone who is open to taking this startup through incubators. Ideal candidate will work with an expert in the CAE field and will help support the development of the LLM tool. Key Responsibilities: Develop and maintain backend workflows and graph structures using LangGraph. Integrate and fine-tune open-source LLMs (e.g., Llama) into existing systems. Utilize LLM sources like Groq for optimizing model performance. Implement Retrieval Augmented Generation (RAG) techniques. Deploy machine learning models on cloud platforms (AWS, GCP, or Azure). Ensure scalability, reliability, and performance of backend services. Collaborate with cross-functional teams to enhance product features. Participate in code reviews and adhere to best practices in MLOps. Qualifications: Educational Background: Bachelor's degree or Masters in Computer Science or a related field. Technical Experience: Proven experience in developing workflows utilizing LLMs. Hands-on experience with LangGraph for workflow and graph development. Proficiency with open-source LLMs like Llama. Experience in deploying ML models on cloud services (AWS, GCP, or Azure). Familiarity with LLM sources such as Groq. Experience in Retrieval Augmented Generation (RAG) and fine-tuning LLM models. Strong programming skills in Python or similar languages. Soft Skills: Excellent problem-solving abilities. Strong communication and teamwork skills. Attention to detail and a proactive approach to learning. Preferred Qualifications: Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Familiarity with continuous integration/continuous deployment (CI/CD) pipelines. Experience with working in small teams What We Offer: Possible stake in the company. Opportunity to work on cutting-edge AI and ML projects. A collaborative and innovative work environment. Job Types: Part-time, Temporary Pay: $20.00 - $21.00 per hour Benefits: 401(k) Dental insurance Health insurance Compensation Package: Bonus opportunities Application Question(s): How many years if any, have you worked in a startup? Work Location: Remote