Senior AI Agent Engineer
Job Code
L-SAIAD-092925Location
RemoteTerms
Full-timeSalary/Rate
Depends on ExperienceSkills Required
Python, LangChain/LangGraph, RAG Pipelines, Multi-Agent Systems
Job Overview
We are looking for a highly experienced Senior AI Agent Engineer to lead the design, development, and deployment of complex, autonomous AI systems. The ideal candidate will have a proven track record of building robust multi-agent systems and a strong focus on AI safety and security.
Responsiblities
- Design and implement complex Retrieval-Augmented Generation (RAG) pipelines.
- Develop and orchestrate sophisticated multi-agent systems, focusing on planning and memory management.
- Lead the deployment of AI systems using Docker, with a preference for Kubernetes experience.
- Establish and manage observability practices, including logging, tracing, and monitoring for AI systems in production.
- Implement defenses against security vulnerabilities like prompt injection.
- Contribute to the continuous improvement of our AI architecture and development processes.
Skills and Qualifications
- Programming: 4+ years of professional Python experience.
- Agent Systems: 2 years with Lang Chain and Lang Graph.
- RAG Expertise: Proven ability to design and implement complex RAG pipelines (Pinecone, Weaviate, etc.).
- Multi-Agent Systems: Experience with orchestration, planning, and memory management.
- Deployment: Strong proficiency with Docker (Kubernetes a plus).
- Observability: Skilled in logging, tracing, and monitoring AI systems in production.
- Advanced AI: Knowledge of RLHF, knowledge graphs, and autonomous system design (goal decomposition, error recovery).
- Security: Strong focus on AI safety, including defenses against prompt injection.
Additional Requirements
- Must be fluent in English