Sr. Software AI Engineer

As a Sr. Software AI Engineer you will drive the development of our AI Agents and the underlying infrastructure that powers it. You will implement AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity skills and tools. You will be involved from design to code implementation to rigorous testing and production support.

You will partner with internal teams and external contractors to lead technical reviews integrations and delivery execution. You will deliver using Coding Agents establish testing approaches for prompts and model performance and implement observability for AI features. We value autonomy continuous learning and clear business impact. If you are excited by this work but unsure whether you meet every requirement we encourage you to apply.

Responsibilities:

• Collaborate with cross-functional teams (product design operations infrastructure) to build AI-native application experiences
• Build AI Agents MCP Servers Tools and integrate LLM / generative AI capabilities into products including structured prompting memory management and context management.
• Implement retrieval-augmented generation (RAG) patterns (e.g. embeddings retrieval) and contribute to context-aware and personalized user experiences
• Drive end-to-end execution of medium-to-large features with independence contribute to technical direction within the team
  

Required Qualifications:

• Bachelors degree in computer science Computer Engineering or related technical field
• 4 years of experience using at least one general purpose programming language (Python preferred Java or Go) and front-end experience with JavaScript/TypeScript
• Proven track record shipping production applications that incorporate LLMs MCPs or AI services at scale
• Experience with cloud platforms (i.e. AWS) and advanced containerization (Docker Kubernetes)

Preferred Qualifications:

• Experience in Cloud Software Development including architecture design technical leadership and system optimization
• Experience with Strands ADK or Agent development frameworks.
• Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore LangChain)
• Experience with modern front-end frameworks (React Vue or Angular) and advanced state management
• Experience with vector databases (e.g. pgvector) and embedding model optimization
• Experience with enterprise RAG architectures semantic search optimization and conversation memory management at scale