As an AI Engineer at airSlate, you will be part of a team focused on developing agentic AI implementations for product-facing features and marketing solutions, leveraging cutting-edge LLM technologies.
In Short
Develop and maintain AI-driven applications leveraging LLMs and RAG.
Design, implement, and optimize APIs and microservices.
Work with various database systems including SQL and NoSQL.
Integrate message queue brokers for distributed systems.
Collaborate on prompt engineering and fine-tuning LLM applications.
Build cloud-native applications using AWS and containerization tools.
Participate in code reviews and improve engineering standards.
Increase system performance and scalability.
Implement integrations with other product APIs.
Engage in foundational AI research and practical deployment.
Requirements
Strong proficiency in Python and experience with frameworks like FastAPI.
Experience with LLM-based solutions and prompt engineering.
Solid understanding of database management.
Experience designing scalable RESTful APIs.
Hands-on experience with RAG and search pipelines.
Knowledge of message queue brokers.
Experience with Git and CI/CD tools.
Proficiency in cloud platforms and containerization.
High level of self-awareness and problem-solving skills.
Proactivity in work and collaboration.
Benefits
Opportunity to work on innovative AI-driven applications.
Collaborate with a diverse team of experts.
Continuous learning and growth in a rapidly evolving field.
Engagement in both foundational research and practical applications.
Work in a company with a strong valuation and growth trajectory.