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Medium—established employer and Bangalore location plus generic Engineer title, but niche harness specialization reduces applicant density.
Medium—core devops and platform skills are transferable, but harness/AI-agent specialization narrows cross-industry fit.
High—role mandates specialized developer-platform, CI/CD, linters, and AI-agent hands-on experience despite no explicit years.
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Design, develop, deploy, and support the harness components that guide AI coding agents to produce high-quality, maintainable code (e.g., guardrails, feedback loops, linters, tests).
Own the end-to-end steering loop to prevent repeated agent errors and maintain repository knowledge for continual accuracy.
Contribute to quality gating, LLM testing, observability metrics, and evaluate system stability, scalability, and performance.
Bachelor's or Master's degree in Computer Science or related discipline, or equivalent experience.
Strong software engineering background with experience in large codebases emphasizing architecture, testing, and maintainability.
Hands-on experience with AI coding agents (e.g., Claude Code, Codex) and related tooling such as linters, static analysis, CI pipelines, containerized environments.
Work Experience Required: Not explicitly mentioned in the JD
Expertise in building systems and tooling around agent-augmented software development with a systems mindset focused on environment fixes over individual outputs.
Experience with spec-driven development, agent orchestration, fitness functions, and developer platform engineering.
Ability to balance deterministic and inferential controls for code quality, including AI-based code review and mechanical rule enforcement.