Senior Full Stack Engineer

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Accountabilities - Build and maintain production-grade AI agents using TypeScript, Node.js, AWS Lambda, Step Functions, DynamoDB, Amazon Bedrock, and frameworks such as Strands or LangGraph. - Design agent workflows by defining what AI models can investigate and which actions must be controlled by deterministic code. - Develop secure, sandboxed agent runtimes with read-only access, scoped tools, controlled file access, and appropriate budget and timeout limits. - Evaluate AI features using benchmark datasets, production replays, calibrated evaluation models, and quality gates based on recall, precision, and false-positive rates. - Compare models and inference effort levels before release to ensure reliable, measurable performance. - Improve observability through structured logs, reason-coded metrics, alerts, and production troubleshooting using tools such as Splunk and VictoriaMetrics. - Maintain Terraform infrastructure across environments while respecting tagging standards, permission boundaries, and security requirements. - Enhance GitLab CI/CD pipelines for building, testing, deploying, and enforcing quality controls. - Build resilient integrations that handle retries, rate limits, permanent failures, and outdated application state. - Use AI coding assistants to accelerate development, review generated code critically, and maintain accurate context for AI-assisted workflows. - Review AI-generated changes for security, correctness, reliability, and maintainability, identif

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