Build the 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, and learn how to manage and inspire others.
Anticipate the needs of your teams and clients, and deliver quality.
Embrace increased ambiguity, ask questions, and use these moments as opportunities to grow.

Bachelors or Masters degree in Computer Science or similar
Microsoft Development, Azure/Google Cloud Platform or Amazon Web Services Certifications are preferred
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
Rapid-prototyping workflows and development tools
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