Thomson Reuters - Senior Software Engineer - AI & LLM Platform

Description :

Senior Software Engineer - Ai I will be developing using AI platforms, LLMs, prompt engineering and orchestration methods to implement AI at scale. Expertise in the design of scalable solutions using microservice, knowledge in Image Processing, statistics, knowledge graphs, prompt evaluation and observability. Technology expertise in Azure AI Search and CosmosDB, Azure AI Foundry.

About the Role :

- Architect and build .NET services and APIs integrating Azure OpenAI and Azure AI Services.

- Design and implement RAG pipelines using Azure AI Search for hybrid retrieval and grounding.

- Build agentic workflows with tool/function calling, planning, memory, and safe execution boundaries.

- Develop Semantic Kernel plugins/skills; configure planners, connectors, and memory stores.

- Implement observability for AI systems (cost, latency, token usage, quality metrics; App Insights/OpenTelemetry).

- Partner with product, security, and data teams to align solutions with compliance and business outcomes.

- Mentor engineers; lead design reviews, write RFCs, and drive engineering excellence.

About You :

5+ years of experience in the described technical stack :

- C#/.NET 7/8 : Advanced async, streaming, DI, clean architecture, performance tuning.

- ASP.NET Core : REST APIs, authentication/authorization (OAuth2/OIDC/JWT), caching, resiliency.

- Azure AI Services :

1. Azure OpenAI : GPT models, embeddings, function calling, streaming responses, cost optimization.

2. Azure AI Search : Indexing, hybrid search (BM25 + vectors), skillsets, enrichers, re-ranking.

3. Azure AI Studio : Prompt flow orchestration, evaluation pipelines.

- RAG : Chunking strategies, metadata enrichment, hybrid retrieval, citation fidelity.

- Agentic AI : Multi-tool orchestration, planners, memory, error recovery, guardrails.

- Semantic Kernel (C#) : Kernels, semantic/native skills, connectors, planners, memory stores.

- Azure Infrastructure : App Service, Functions, AKS, Container Apps, API Management, Key Vault.

- Security & Compliance : PII handling, data residency, auditability, threat modeling basics.

- Testing & Quality : Unit/integration/contract tests, load tests, CI/CD (Azure DevOps/GitHub)

- Azure Cognitive Services : Document Intelligence, Speech, Vision for multimodal AI.

- Azure AI Search advanced : Custom scoring profiles, multi-source ingestion (SharePoint, Blob).

- Observability for AI quality : hallucination detection, RAG evaluation (RAGAS/rubrics).

- Front-end integration : Blazor/React for streaming UX.

- Knowledge graphs : Neo4j/RDF for advanced retrieval.