Offer summary

Qualifications:

Strong background in Software Engineering and Backend Development., Proficiency in Python and experience with AI/ML frameworks., Bachelor's degree in Computer Science or equivalent., Familiarity with tools like Langchain, Agentic Workflows, and Graph databases is preferred..

Key responsabilities:

Transform prototypes and MVPs into production-ready applications.

Implement robust error handling to enhance reliability.

Optimize application performance for speed and cost efficiency.

Collaborate with the R&D team on AI feature integration.

Operating at its full digital potential could add at least $2 trillion to the US GDP. The catch…AI Has a People ProblemAccording to IBM/Burning Glass, there are more openings for analytics talent than there are data professionals in existence! Beyond that, the World Economic Forum estimates the average enterprise employee needs 101 days of upskilling to meet workforce skill demands by 2023.Technology is driving our world into the digital revolution, but people are getting left behind. QuantHub starts at the root with developing data literacy skills in education with k-12 students and branches outward, helping companies develop their strongest asset in this revolution: their people. We provide an efficient yet rigorous vetting platform for hiring data professionals and a modern, in the flow of work, learning platform focused on both AI skills for analytics teams and data literacy skills for the entire enterprise.

Job description

We're looking for a talented AI Software Engineer to transform prototypes and MVPs into production-ready applications. You'll focus on implementing robust error handling, optimizing performance, scaling systems, and integrating AI features in collaboration with our R&D team.

Responsibilities:

Productionize prototypes and MVPs
Implement error handling for improved reliability
Optimize app performance (speed and cost)
Scale user and data management systems
Collaborate on AI integration with R&D team
Ensure smooth dev-to-production transitions

Requirements

Strong Software Engineering and Backend Development background
Python proficiency and AI/ML framework experience
Computer Science degree or equivalent
Familiarity with Langchain/Langgraph, Agentic Workflows, Chainlit, Vector, and Graph databases (preferred)
Proven problem-solving abilities

Ideal Candidate