Senior Software engineer (Node, Python, LLM)
About the project
Requirements
- Proven experience in software development with proficiency in Python (2+ years)
- Experience with Node.js (5+ years)
- 2+ years of experience with Large Language Models (LLMs) and AI development
- Proficiency in prompt engineering to guide LLM outputs
- Experience with cloud platforms like GCP or AWS
- Experience with containerization technologies like Docker and Kubernetes
- Experience with microservices architecture
- Experience with building RESTful APIs
- Experience with database technologies, including SQL and NoSQL
- Experience with message brokers
- Team lead experience
- Experience with React.js
- Experience with BigQuery
- Upper-Intermediate level of Spoken English or higher
Responsibilities
- Design, develop, and integrate LLM functionalities into our recruitment automation systems, utilizing vectorization techniques for efficient data processing and retrieval
- Craft effective prompts to optimize LLM performance in various recruitment tasks (e.g., candidate screening, skills extraction, job description generation) -[check] Utilize Node.js and Python to build robust and scalable back-end for your AI solutions
- Craft user-friendly interfaces using React.js to interact seamlessly with the LLM models
- Collaborate closely with product owners and recruiters to understand process needs and translate them into actionable technical requirements
- Monitor, evaluate, and optimize your LLM-powered solutions to ensure peak performance
- Stay up-to-date on the latest advancements in LLM technology and its applications within the recruitment landscape
- Manage the development team and communicate directly to the business owner
Will be a plus
- Experience with orchestration services like Apache Airflow, Orkes, or AWS Step Functions
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
What we offer

Competitive compensation

Remote work

Professional growth

Transparent communication

Regular performance reviews

Paid vacation and sick leave

Flexible working hours

Annual training budget




































