Build data foundations for AI and ship LLM features like grounded Q&A (RAG), summarization, semantic search, classification, and copilots
Set up evaluation and monitoring and use MLOps to safely deploy and maintain models and prompts across cloud environments
Build meaningful client connections, manage and inspire others
Anticipate the needs of teams and clients, deliver quality
Use reflection to develop self-awareness, enhance strengths, and address development areas

Bachelors or Masters degree in Computer Science or similar
Knowledge regarding GenAI technologies is highly desirable: LLM models (GPT-4, ChatGPT), Agent Orchestration Frameworks (Semantic Kernel or LangChain), Vector Databases (Azure AI Search, etc), Retrieval Augmented Generation, Azure OpenAI Services, AWS Bedrock, Google Vertex AI, Microsoft Copilots, etc
Persistence such as RDBMS/NoSQL (MS SQL, Mongo DB) data stores and appropriate use cases
Containerization, and experience in using Docker and/or Kubernetes
CI/CD using ADO pipeline or git actions
Experience with software development tools and defect tracking systems like Azure DevOps
Database experience (SQL, Mongo DB)
Working with high level UX principles such as user stories, persona building, prototype/prototype development approaches
Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology
Experience with API-based integration development using python ASP.NET, Azure Cloud, Azure Functions and Logic Apps, Angular, React.js, Next.js, Azure Integration Services, LINQ, MS SQL Server, Entity Framework, GitHub, Azure DevOps, Bootstrap, Node.js, Python, OpenAI ChatGPT APIs or Azure OpenAI are required for the role

Senior Associate, AI Developer

Key skills