ai engineer

Amdaris delivers software solutions and joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. The company is building production-grade agentic content workflows for an English Language Learning platform, using AI agent architectures to generate and validate educational content at scale.

• Design, develop, and optimize AI-driven content generation workflows;
• Contribute directly to codebases, building and maintaining agentic workflows using Python and Go where needed;
• Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain;
• Ensure code quality through unit and integration tests written as part of the development workflow, in line with a shift-left approach where developers own test creation;
• Operationalize AI models in collaboration with AI R&D;
• Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic;
• Design and run LLM evaluation benchmarks and regression detection;
• Integrate and manage resources across Azure and AWS;
• Ensure robust CI/CD pipelines and contribute to SDLC best practices;
• Package, deploy, and scale applications using Docker.

• Strong Python development skills, including FastAPI, and hands-on experience with agentic and LLM frameworks;
• Production experience with LLMs, including prompt engineering, model evaluation, and operationalizing research outputs into production services;
• Practical experience with Azure services and familiarity with AWS;
• Experience with LLM observability and monitoring tools;
• Solid grasp of CI/CD, DevOps, and SDLC, along with working knowledge of Docker;
• Daily user of AI development tools;
• Fluent English, spoken and written;
• Nice to have: Working knowledge of Go, Kubernetes experience, familiarity with ML and NLP tooling.

• No conditions specified