
Senior Software Engineer
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in Pennsylvania.
• Develop and oversee the artifact lifecycle system that manages transitions between AI-supported stages.
• Create schemas and traceability standards that link requirements, use cases, and their implementation.
• Write and update instructions and skills for AI agents.
• Construct, establish, and deploy AI agents that contribute to the development lifecycle.
• Implement Python/Bash automation to enforce schema and quality standards.
• Evaluate and score the quality of AI outputs and establish feedback loops for ongoing enhancement.
• Collaborate with Product, UX, and Engineering teams on unified standards and transitions.
• Over 5 years of practical experience in developing 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.
• Experience in building and deploying production AI agents, including their architectures and orchestration patterns.
• Knowledge of testing methods, rubrics, evaluation datasets, LLM-as-judge methodologies, and AI workflow monitoring.
• Experience in designing structured data contracts using JSON Schema, YAML, or equivalent formats.
• Capability to work collaboratively with Product, UX, and Engineering teams.
• Passion for new AI technologies, platforms, tools, and methodologies.
• Strong communication and presentation abilities.
• Familiarity with agentic coding and cloud-based agent platforms, such as Cursor, Claude Code, and Gemini.
• Proficient in Python scripting and automation.
• Hands-on experience with Claude Agent SDK, Google ADK, LangChain/LangGraph, CrewAI, or similar technologies.
• Proficiency in Git, including branching, pull request workflows, and cross-repository modifications.
• Experience in implementing CI/CD pipelines using GitHub Actions, GitLab CI, or comparable tools.
• Ability to create and manage integrations with project management tools such as Jira, Confluence, and Monday.
• Familiarity with MCP and command-line interface tools.
• Medical insurance
• Dental insurance
• Vision insurance
• Paid Time Off (PTO)
• Generous employee discounts
• Retirement savings plan
Cloudera
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Pragmatike
Pragmatike
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