Senior Staff AI Engineer

As a Senior Staff AI Engineer youll lead enterprise full stack and AI platform development at scale for multiple initiatives across the company. Youll design and ship microservices and REST APIs build RAG and multimodal LLM features and set standards for AI-assisted development. Youll own technical decisions end-to-end balancing reliability performance and cloud cost for AI systems.

Youll partner with internal teams and external contractors mentor engineers and run reviews and integrations. Youll drive Agile practices establish testing for prompts and model performance and implement observability for AI features. We value autonomy continuous learning and measurable impact.

Responsibilities:

• Design Implement Fix and Support AI Applications and Services.

• Identify and deliver AI Reusable Services.

• Ship resilient REST APIs and microservices.

• Build RAG Multimodal LLM features and Agents.

• Design agentic workflows for autonomous tasks.

• Mentor engineers and provide guidance to contractors and partners.

• Maintain code quality through best practices unit testing and code quality automation

• Be responsible for providing technical leadership and defining developing and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
  

Required Qualifications:

• Bachelors degree in computer science Computer Engineering or a related technical field.

• 12-15 years of experience with 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 RAG MCPs and AI services at scale.

• Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.

• Strong experience with cloud platforms (AWS GCP or Azure) and advanced containerization (Docker Kubernetes).

• Experience with technical oversight code review processes and quality assurance methodologies.

Preferred Qualifications:

• Thorough experience in AI/ML including architectural design technical leadership and system optimization.

• Experience with modern front-end frameworks (React Vue or Angular) and advanced state management.

• Experience with vector databases (e.g. Milvus Pinecone Weaviate pgvector) and embedding model optimization.

• Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain LlamaIndex).

• Experience with enterprise RAG architectures semantic search optimization and conversation memory management at scale.

• Experience building and scaling AI-powered features for 100k users.