Assistant Curator of Photography
Virginia Museum of Fine Arts
Lagos
Nigeria
June 21, 2026
Full-timeJune 21, 2026
Job Description
Job Overview:
We are building innovative products and internal platforms powered by LLM-based agents to automate complex workflows. This role is ideal for an engineer who has gone beyond basic prompting and can design, build, and deploy production-grade agent systems.
Duties and Responsibilities:
Design and build LLM-based agent systems using frameworks such as LangGraph, LangChain, CrewAI, or custom solutions. Develop tool-use layers and MCP-compatible interfaces to connect agents with external systems and APIs. Build and manage orchestration pipelines, including multi-agent coordination, task routing, state management, and error handling. Integrate LLM capabilities into product features, enabling autonomous workflows beyond traditional chatbot functionality. Monitor, evaluate, and optimize agent performance (accuracy, reliability, latency, and cost). Collaborate with product and engineering teams to translate business use cases into scalable agent architectures.
Required Qualifications:
Minimum of 3 years’ experience in software engineering. Proven experience building and deploying production-level LLM agent systems (beyond proof-of-concepts). Strong proficiency in Python, including async programming and event-driven architectures. Hands-on experience with at least one agent orchestration framework (LangGraph strongly preferred). Solid understanding of prompt engineering, context management, and LLM limitations. Experience with tool/function calling, Retrieval-Augmented Generation (RAG), and structured output handling. Strong analytical skills with the ability to evaluate and improve agent performance systematically.
Educational Background:
Not specified
Experience:
Minimum of 3 years’ experience in software engineering
Languages:
Not specified
Additional Notes:
Nice to Have: Experience with Model Context Protocol (MCP) tooling. Familiarity with vector databases such as Pinecone, Weaviate, or pgvector. Exposure to multi-agent systems or autonomous workflow design.
We are building innovative products and internal platforms powered by LLM-based agents to automate complex workflows. This role is ideal for an engineer who has gone beyond basic prompting and can design, build, and deploy production-grade agent systems.
Duties and Responsibilities:
Design and build LLM-based agent systems using frameworks such as LangGraph, LangChain, CrewAI, or custom solutions. Develop tool-use layers and MCP-compatible interfaces to connect agents with external systems and APIs. Build and manage orchestration pipelines, including multi-agent coordination, task routing, state management, and error handling. Integrate LLM capabilities into product features, enabling autonomous workflows beyond traditional chatbot functionality. Monitor, evaluate, and optimize agent performance (accuracy, reliability, latency, and cost). Collaborate with product and engineering teams to translate business use cases into scalable agent architectures.
Required Qualifications:
Minimum of 3 years’ experience in software engineering. Proven experience building and deploying production-level LLM agent systems (beyond proof-of-concepts). Strong proficiency in Python, including async programming and event-driven architectures. Hands-on experience with at least one agent orchestration framework (LangGraph strongly preferred). Solid understanding of prompt engineering, context management, and LLM limitations. Experience with tool/function calling, Retrieval-Augmented Generation (RAG), and structured output handling. Strong analytical skills with the ability to evaluate and improve agent performance systematically.
Educational Background:
Not specified
Experience:
Minimum of 3 years’ experience in software engineering
Languages:
Not specified
Additional Notes:
Nice to Have: Experience with Model Context Protocol (MCP) tooling. Familiarity with vector databases such as Pinecone, Weaviate, or pgvector. Exposure to multi-agent systems or autonomous workflow design.
Info
Job Posting Disclaimer
All job postings on this site are shared for informational purposes only. The responsibility for the accuracy of job descriptions, requirements, qualifications, and other details rests entirely with the employer or organization offering the position. We do not verify or guarantee the authenticity of these listings.
Applicants are encouraged to perform their own due diligence and confirm all information directly with the employer before submitting an application.
We are not responsible for any actions, decisions, or outcomes resulting from applying to a job listed here. All interviews, selection processes, and job offers are conducted solely by the employer or organization.
Exercise caution and watch out for fraudulent job offers. Never provide sensitive personal information or make payments to secure a position.
Applicants are encouraged to perform their own due diligence and confirm all information directly with the employer before submitting an application.
We are not responsible for any actions, decisions, or outcomes resulting from applying to a job listed here. All interviews, selection processes, and job offers are conducted solely by the employer or organization.
Exercise caution and watch out for fraudulent job offers. Never provide sensitive personal information or make payments to secure a position.