Chief of Staff to the SVP and GM of AI & Platform

Job description Senior Generative AI Software Developer with a strong foundation in working with large language models (LLMs) and a keen interest in building intelligent, agentic systems - RITM0169299

1 year contract, possibilities of extensions. Hybrid in office, 3 days/week in Richmond Office

Must Have:

• 5+ years of software development experience, including recent work with LLMs or AI integration.

• Profici...ency in Python and experience with AI/ML frameworks (e.g., OpenAI SDKs, LangChain, Hugging Face)

• Experience in C#, .NET Core, and object-oriented design

• Interest and understanding of agent-based design concepts and tools (AutoGen, Semantic Kernel, etc.)

• Familiarity with RAG, GraphRAG, embeddings, and vector databases such as Cosmos DB, pgvector, or Qdrant.

• Experience deploying solutions to the cloud (Azure preferred)

• Knowledge of APIs, CI/CD pipelines, Git, and Agile software development practices

• Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences

• Bachelor’s degree in Computer Science or a related STEM field

Specific Responsibilities and Deliverables:

• Design and build applications using OpenAI, Azure OpenAI, and open-source LLMs

• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines

• Explore and implement foundational patterns for multi-agent AI systems using tools like AutoGen, LangChain, or Semantic Kernel

• Integrate LLMs into enterprise workflows and digital products

• Use vector databases such as Qdrant, pgvector, and Cosmos DB

• Leverage Azure AI services and models to enhance capabilities and performance

• Collaborate with product teams and data scientists to test, refine, and deliver AI use cases

• Develop prompt strategies, memory handling, and task chaining

• Maintain clear documentation of models, architecture, and decision-making

• Stay current with research and best practices in generative and agentic AI

• Collaborate with cross-functional teams to transition validated concepts to production

• Participate in Agile ceremonies, code reviews, and DevOps practices

• Maintain technical documentation and participate in system architecture decisions

• Provide mentorship to junior developers and support knowledge sharing

Deliverables:

• Prototypes and fully developed, production-grade applications that demonstrate generative and agentic AI capabilities

• Integration of LLM-based solutions into existing enterprise environments

• Documentation of models, prompts, workflows, and architectures

• Regular stakeholder updates and demo presentations

• Contributions to reusable components and AI development patterns

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

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