Remote Machine Learning Engineer - LLM

Description:

• The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data.
• This team uses advanced statistical methods, algorithms, and data visualization techniques to transform raw data into actionable intelligence.
• The insights drive decision-making across engineering, product development, and operational strategies.
• The team works on optimizing prediction models, identifying trends, and providing data-driven solutions to enhance operational efficiency and product quality.
• The position is for an experienced LLM Applications Engineer to design, develop, and deploy production-ready applications that utilize large language models.
• Responsibilities include designing user-facing applications powered by large language models, creating and maintaining high-performance APIs, implementing retrieval-augmented generation systems, building intelligent document processing workflows, developing conversational interfaces, ensuring system reliability, and collaborating with product teams.

Requirements:

• Candidates must have 1-4 years of experience in software engineering with a focus on backend development.
• A Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field is required.
• Demonstrated experience in building applications that utilize large language models is essential.
• Strong proficiency in Python and experience with web frameworks such as FastAPI, Flask, or Django are necessary.
• Candidates should have experience designing, building, and maintaining production REST APIs.
• A working knowledge of relational databases and SQL is required.
• Familiarity with LLM orchestration tools like LangChain or LangGraph is preferred.
• Experience with vector embeddings and information retrieval systems is necessary.
• A history of shipping code to production environments is required.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment focused on cutting-edge technology.
• Employees will have the chance to collaborate with cross-functional teams and contribute to impactful projects.
• The role allows for remote work flexibility, promoting a healthy work-life balance.
• Employees will gain experience with advanced technologies and methodologies in the field of machine learning and AI.
• The company fosters a culture of continuous learning and professional development.