Generative AI/LLM Engineer

Description :

Key Responsibilities :

- Develop, test, and deploy GenAI applications leveraging LLMs, RAG pipelines, and prompt engineering to solve business challenges

- Build scalable backend services and APIs in Python and C# supporting AI workloads.

- Implement enterprise grade AI solutions using Azure AI Foundry , Azure OpenAI, Vector Search, and secure data integrations.

- Design and optimize data ingestion, transformation, and retrieval layers using SQL Server, Cosmos DB, and Azure data services.

- Develop UI components and front end features using Angular for internal AI tools and applications.

- Configure and finetune opensource LLMs

- Integrate AI models into existing digital products, workflows, and engineering automation systems.

- Collaborate with data engineers, architects, full stack developers, and domain SMEs to translate business needs into AI technical specifications.

- Apply MLOps and AI lifecycle best practices for deployment, monitoring, versioning, performance optimization, and responsible AI compliance.

Requirements :

- 5+ years of professional experience in software engineering or applied AI roles.

- At least 3 years hands-on with LLMs, GenAI systems, or modern AI frameworks.

- Strong expertise in Python (core libraries, FastAPI, vector databases, data processing).

- Experience with Azure Cognitive Search, semantic search, and index enrichment pipelines.

- Knowledge of Responsible AI practices, model governance, and prompt safety evaluation.

- Experience with agent frameworks (Semantic Kernel, AutoGen, CrewAI).

- Familiarity with enterprise observability stacks (App Insights, Prometheus, OpenTelemetry) for LLM performance monitoring.

- Proficiency in C#/.NET and building enterprise-grade backend services.

- Hands-on experience with LLMs, prompt engineering, and GenAI solution development.

- Experience working with enterprise knowledge indexing, metadata extraction, and content enrichment.

- Experience with AI Foundry / Azure AI Studio, Azure OpenAI, and cloud-native AI pipelines.

- Solid understanding of SQL Server, Cosmos DB, and distributed data storage concepts.

- Strong front-end development experience with Angular.

- Ability to design secure, scalable, production-ready AI systems.

- Azure certifications (AI Engineer Associate, Developer Associate) preferred.

Preferred Qualifications :

- Experience with RAG, embeddings, vector search, LangChain / LlamaIndex, or similar frameworks.

- Knowledge of Azure Data Factory, Azure Functions, Event Hub, or broader cloud ecosystem.

- Familiarity with DevOps/MLOps (GitHub Actions, Azure DevOps, model registry, CI/CD).

- Exposure to agentic systems and multi-model orchestration.