AI Engineer — Language AI Services

Years of Experience

3-10 years of experience combining software development with applied NLP

or ML

work. Experience in a localization, multilingual AI, or LLM platform context is

a strong plus.

Python and C# (.NET), with a focus on LLM integration and linguistic

processing.

 Investigate and evaluate new approaches - LLM models, prompt

strategies, quality metrics, non-LLM alternatives - and produce clear

research conclusions that translate into engineering work.

 Build and run QA test cases for platform features; maintain test

coverage and report issues with clear reproduction steps.

 Develop proof-of-concept implementations to validate new ideas (e.g.,

model integrations, orchestration patterns, caching strategies).

 Present research findings and PoC results at sprint reviews,

communicating results to both technical and non-technical stakeholders.

 Collaborate across engineering and research to bridge investigation and

implementation: turn a research conclusion into a shipped feature.

 Investigate and resolve production issues: concurrency bugs,

performance bottlenecks, LLM integration failures.

 Work with Azure cloud services (App Service, Azure Functions,

Service Bus, CosmosDB) and CI/CD pipelines in Azure DevOps.

 Contribute to code quality through