AI Research Engineer

Years of Experience

3-6 years of experience combining software engineering with applied AI/NLP

research.

Experience in a localization or multilingual AI platform context is a strong

plus.

 Evaluate large language models (GPT family, Claude, open-source

models) for localization tasks - measuring quality, cost, and latency

trade-offs; translate findings into engineering decisions.

 Develop and maintain backend microservices and NLP pipelines in

Python and C# (.NET), shipping research conclusions as production

features.

 Build proof-of-concept implementations to validate new approaches:

model integrations, orchestration patterns (e.g., MCP), caching and

batching strategies.

 Design and run experiments: define evaluation sets and metrics, analyse

results, communicate uncertainty and recommendations to the team.

 Write and execute QA test cases for platform features; maintain test

coverage and report issues with clear reproduction steps.

 Present research findings and PoC results at sprint reviews,

communicating to both technical and non-technical stakeholders.

 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.