About the Company
Insight Enterprises, Inc. is a Fortune 500 Solutions Integrator helping organizations accelerate transformation by unlocking the power of people and technology. We architect, build and manage solutions for complex IT environments to deliver outcomes that contribute to our clients' success. Our portfolio of digital transformation services includes deep expertise in cloud, data, AI, cybersecurity and intelligent edge. We're rated as a Great Place to Work, a Forbes Best Employer for Diversity and a Forbes World's Top Female-Friendly Company.
About the Project
We are seeking an experienced Python AI Engineer to join our team and contribute to the development of a next-generation GenAI assistant designed to support and streamline English-language learning content creation. The solution is built using an agentic architecture (LangGraph) enabling autonomous, modular, and collaborative agent behaviours. The assistant’s knowledge base integrates multiple data sources, uploaded files, curated datasets, and relevant web content, ensuring broad coverage, high accuracy, and adaptability across diverse exam formats.
Key Responsibilities
- Design, develop, and optimize AI-driven features for a GenAI assistant focused on English-language exam tasks.
- Build and maintain agentic workflows using LangGraph.
- Develop backend services and APIs using Python and FastAPI.
- Integrate and manage cloud resources across Azure (Container Apps, Key Vaults, Azure Foundry) and AWS.
- Implement monitoring and observability solutions (e.g., New Relic or equivalent).
- Collaborate with cross-functional teams to define requirements and deliver high-quality features.
- Ensure robust CI/CD pipelines and contribute to overall SDLC best practices.
- Package, deploy, and scale applications using Docker; Kubernetes experience is a strong plus.
Information regarding specific benefits, perks, or growth opportunities was not provided in the job posting.
Required Skills & Qualifications
- 3–5+ years of professional experience in Python development, with strong knowledge of FastAPI.
- Hands-on experience with AI/ML frameworks, especially CrewAI, LangChain, LangGraph, or similar agentic/LLM toolkits.
- Practical experience with Azure services (Container Apps, Key Vault, Azure Foundry) and familiarity with AWS environments.
- Strong understanding of monitoring and observability tools.
- Solid grasp of CI/CD processes and modern DevOps practices.
- Working knowledge of Docker; Kubernetes experience is a plus.
- Understanding of SDLC and agile development methodologies.
