Full-Stack AI Engineer (Agentic AI)
Requirements
Proven experience in designing and developing AI-powered applications and AI Agents.
Strong Python programming skills with experience building backend solutions.
Hands-on experience with AI frameworks such as OpenAI SDK, Anthropic Agent SDK, LangChain, LangGraph, or similar.
Understanding of AI application architecture and the ability to design end-to-end solutions.
Experience integrating AI models and AI Assistants into business applications.
Experience working with AWS cloud services.
Basic frontend development skills using Streamlit, Dash, or HTML5 technologies.
Full-stack mindset with the ability to own solutions throughout their entire lifecycle.
Strong communication skills and the ability to collaborate effectively with business stakeholders.
Nice to have
Experience with AI Stack, particularly Galileo.
Experience delivering AI solutions for Finance or analytical use cases.
Knowledge of AI application deployment and production best practices.
Responsibilities
Design, develop, and maintain AI applications and Agentic AI solutions using AI Stack (Galileo) and AWS.
Build and enhance AI Agents and AI Assistants supporting Finance business processes.
Develop scalable backend services in Python using modern AI frameworks.
Deliver end-to-end solutions, from architecture and implementation to deployment and production support.
Collaborate with business stakeholders to translate requirements into AI-powered solutions.
Develop lightweight frontend applications using Streamlit, Dash, or web technologies.
Deploy and maintain AI solutions in AWS environments.
Ensure high-quality, scalable, and maintainable software following engineering best practices.