We are seeking a Lead/Senior Software Engineer specializing in AI Solution Engineering to design, build, and deploy full-stack LLM-powered AI applications while driving best practices in cloud architecture, coding standards, and responsible AI delivery across enterprise systems.

Responsibilities

Build full-stack LLM-powered AI applications using Azure (prompt engineering, grounding, RAG) or vector databases
Develop APIs/microservices with Python, .NET, or Node and integrate them with UIs and enterprise systems
Drive agentic AI development using Azure AI Foundry and Copilot Studio
Implement CI/CD pipelines with GitHub Actions or Azure DevOps and manage cloud deployments across AKS, App Service, and Functions
Build data and feature pipelines using Azure Data Factory, Synapse, or Databricks and manage embeddings and prompt versioning
Deploy models into production and maintain them over time
Adhere to coding standards and AI principles by conducting regular health checks, audits, and code reviews to ensure clean, maintainable, production-level code across project teams

Requirements

6-14 years of overall IT experience
Strong coding skills in Python, C#, and REST/GraphQL APIs, along with experience in testing and code reviews
Hands-on expertise in the Azure AI stack, including Azure OpenAI, Azure AI Foundry, and Azure Cognitive Services
Familiarity with Azure AI Search, NLP, and Azure ML, along with vector databases such as AI Search vector index, Cosmos DB, or PostgreSQL
Experience in agentic development using the Azure AI stack
Proficiency in CI/CD with GitHub, branching strategies, and coding standards such as linters, formatters, and PEP8, along with GitHub Actions pipelines
Skills in containerization with Docker and deployment to AKS, App Service, or Functions
Knowledge of secrets management via Key Vault and Managed Identity, along with RBAC and network security basics
Understanding of Responsible AI, privacy, and data security in enterprise settings

Nice to have

Experience with GitHub Copilot and Microsoft Copilot Studio (Power Platform)
Familiarity with PromptFlow, MLflow, Databricks, and Streamlit or React
Background in MLOps and/or LLMOps practices
Azure certifications (AI-102, AZ-204)
Experience working with one of the big cloud environments (e.g. Azure)
Knowledge of RAG patterns, prompt design, tool/function calling, embeddings, retrieval, and caching
Preferred experience working with Asset projects

Lead/Senior Software Engineering - AI Solution Engineering