Senior Software Engineer - AI & Agentic Architecture

• Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks.
• Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data.
• Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality.
• Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability.

• Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode.
• Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings.
• Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows.
• Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions.

• Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery.
• Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems.
• Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration.

• Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems.
• Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices.
• Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders.
• Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools.

• 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications.
• Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code.
• Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation.
• Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems.
• Demonstrated experience integrating AI into CI/CD and developer workflows.
• Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions.
• Strong written and verbal communication skills, with experience mentoring and leading through influence.
• Bachelor’s degree or equivalent.

• Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management.
• Experience building multi-agent research or customer support systems, or structured data extraction pipelines.
• Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure.
• Familiarity with vector databases, embeddings, and AI evaluation frameworks.
• Contributions to open-source projects involving AI, agentic systems, or developer tooling.
• Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack.
• A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves.

The estimated base pay range for this role is listed below. 177300 - 265900 USD