Software Engineer - AI Tooling
Jobgether (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 20–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain AI developer tooling, including MCP servers, agents, agent skills, and assistants, so products and workflows are usable by AI agents.
- Own evaluation and production quality: establish benchmarks, baselines, release criteria, and feedback loops; test reliability and prevent regressions.
- Turn promising AI approaches into reusable production integrations, working across Documentation, CLI, Frontend, SDK, and Infrastructure teams.
Minimum Requirements
- Work Experience Required: At least 5 years of professional software engineering experience.
- Strong TypeScript proficiency and extensive JavaScript ecosystem knowledge; familiarity with AI tools, agent architectures, and practical trade-offs.
- Experience building developer tools, product interfaces, or platform components for engineers, and working with evaluation frameworks for AI quality and reliability.
- Solid testing and reliability practices, plus good knowledge of PostgreSQL and relational database principles.
Ideal Candidate Profile
- Has built platforms or tools used by other engineers and can make products, documentation, and integrations accessible to AI agents.
- Uses evaluation-first methods to validate AI quality, cost, performance, and task success before taking prototypes into production.
- Experience shipping customer-facing AI, agents, vector search or pgvector, AI evaluation/tracing, or developer-focused open-source tools is an advantage.