Senior & Intermediate Software Developer with GEN AI and integrating large language models (LLMs) into products

About

Our public enterprise client is seeking Senior & Intermediate Software Developer with GEN AI and integrating large language models (LLMs) into products experience, building intelligent, agentic systems for Innovation Team.

Contract Details

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

Must Have

• Bachelor’s degree in Computer Science or a related STEM field
• 5+ years of software development experience, including recent work with LLMs or AI integration.
• Proficiency in Python and experience with AI/ML frameworks (e.g., OpenAI SDKs, Lang Chain).
• Experience in C#, .NET Core, and object-oriented design.
• Experience deploying solutions to the cloud (Azure preferred).
• Experience in agent-based design concepts and tools (Auto Gen, Semantic Kernel, etc.).
• Familiarity with RAG, Graph RAG, embeddings, and vector databases such as Cosmos DB, pgvector, or Qdrant.
• Knowledge of APIs, CI/CD pipelines, Git, and Agile software development practices.
• Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences.
• Ability to collaborate and communicate effectively within cross-functional teams.

Responsibilities

• Build applications using OpenAI, Azure OpenAI, and open-source LLMs
• Integrate LLMs into enterprise workflows and digital products
• Explore and implement foundational patterns for multi-agent AI systems using tools like Auto Gen, Lang Chain, or Semantic Kernel
• Collaborate with product teams and data scientists to create prototypes, test, refine, and deliver functional AI products
• Develop evaluation frameworks to test AI applications
• Maintain clear documentation of models, architecture, and decision-making
• Stay current with research and best practices in generative and agentic AI
• Participate in Agile ceremonies, code reviews, and Dev Ops practices
• Maintain technical documentation and participate in system architecture decisions
• Support knowledge sharing with development team