
Senior Software Engineer
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in Pennsylvania.
• Develop and sustain the artifact lifecycle system that governs collaboration between AI-assisted phases.
• Create schemas and traceability standards that link requirements, use cases, and implementation.
• Write and maintain instructions and skills for AI agents.
• Design, construct, and deploy AI agents that support the development lifecycle.
• Implement Python/Bash automation to enforce schema and quality gates.
• Evaluate and score the quality of AI outputs based on actual usage.
• Establish feedback loops to enhance the system continuously.
• Collaborate with Product, UX, and Engineering stakeholders to uphold shared standards and facilitate handoffs.
• Over 5 years of practical experience in building production software or internal platforms.
• Direct experience in designing agent instructions, prompt systems, or workflows supported by LLM.
• Familiarity with specification-driven or artifact-lifecycle systems that incorporate AI into the development lifecycle.
• Proven experience in building and deploying AI agents in production, including knowledge of agent architectures and orchestration patterns.
• Interest in testing, rubrics, evaluation datasets, LLM-as-judge methodologies, and observability in AI workflows.
• Experience in designing structured data contracts using JSON Schema, YAML, or similar technologies.
• Ability to collaborate effectively with Product, UX, and engineering stakeholders.
• Passion for emerging AI capabilities, platforms, tools, and techniques.
• Exceptional communication and presentation abilities.
• Familiarity with agentic coding platforms and cloud-based agent platforms like Cursor, Claude Code, and Gemini.
• Strong scripting and automation skills in Python.
• Hands-on experience with agent development kits and platforms such as Claude Agent SDK, Google ADK, LangChain/LangGraph, and CrewAI.
• Proficient in Git, including branching, PR workflows, and managing cross-repo changes.
• Experience in implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar tools.
• Ability to create and manage agentic or automation integrations with project management tools such as Jira, Confluence, and Monday.
• Familiarity with tool-integration protocols such as MCP and CLI-based tools.
• Medical insurance
• Dental insurance
• Vision insurance
• Paid time off (PTO)
• Generous employee discounts
• Retirement savings
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