
Senior Backend Engineer, AI Agent
Posted 3 hours ago

Posted 3 hours ago
This is a fully remote position, open to applicants in Texas.
• Design, construct, and enhance AI agents utilizing Go/Python within an orchestrator/sub-agent framework.
• Address intent interpretation, task delegation, and secure action execution.
• Take ownership of evaluation-driven development, including the creation of golden datasets, scoring mechanisms, and regression testing suites.
• Monitor essential quality metrics such as discovery recall and accuracy of quotes.
• Develop and fine-tune prompts and model configurations as version-controlled, tested artifacts.
• Integrate agents with MCP servers and backend systems.
• Establish safe tool-call agreements, approval processes for write actions, and safeguards against prompt injection and misuse.
• Equip agents with tracing, metrics, and cost monitoring capabilities.
• Utilize production signals to facilitate quality enhancements.
• Collaborate with product designers and frontend engineers to create conversational experiences.
• Construct proof-of-concept agents to test user stories and enhance them to GA quality standards.
• Influence architectural decisions on complex challenges.
• Guide engineers in best practices for agent engineering.
• 5+ years of experience in backend or full-stack software development.
• Practical experience in developing agentic AI/LLM applications.
• Preferred minimum of a Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, Computer Engineering, Management Information Systems; or equivalent experience.
• Strong and demonstrated programming skills in Go, Python, Ruby, or PHP.
• Production experience with LLMs such as Gemini, Anthropic, or OpenAI.
• Experience in creating LLM evaluation datasets, scoring systems/metrics, and leveraging evaluation results to inform iterations.
• Comprehensive understanding of prompt engineering, function/tool invocation, and agent orchestration patterns.
• Extensive experience in designing and developing APIs using gRPC, GraphQL, or REST.
• Experience in system integration of data.
• Practical experience in constructing MCP servers or LLM tool integrations.
• Exceptional problem-solving abilities.
• Strong collaboration and communication skills within cross-functional teams.
• Strong inclination towards execution and delivery.
• Preferred experience with Google ADK, LangChain/LangGraph, Semantic Kernel, or similar agent frameworks.
• Preferred experience with Braintrust, LangSmith, or similar evaluation/observability platforms.
• Preferred experience with RAG systems and refining retrieval quality.
• Preferred experience with e-commerce platforms or SaaS product development.
• Preferred background in conversational AI or natural language processing.
• Remote-first work environment.
• Optional collaborative workspaces located in Austin, Atlanta, and London.
• Variable compensation options such as bonuses or commissions, when applicable.
• Equity participation, where applicable.
• Benefits aligned with local policies.
• An inclusive and accessible hiring process.
• Government ID and biometric verification process conducted via Persona.
Capgemini
Affirm
Affirm
Get handpicked remote jobs straight to your inbox weekly.