Senior AI Agent Engineer

Senior AI Agent Engineer

Company Overview

*Not specified.*

Job Summary

We are seeking an experienced engineer to design and build secure, production-grade AI agents that seamlessly integrate with business systems. The role involves developing agents capable of retrieving trusted information, utilizing tools, and supporting human-approved workflows. The successful candidate will contribute to advancing AI capabilities within the organization, ensuring robust, safe, and efficient AI operations in production environments.

Responsibilities

• Build and operate the AI-agent runtime, ensuring reliable and scalable performance.
• Design coordinator and specialist-agent workflows to optimize task execution and collaboration.
• Create typed and versioned tool registries for consistent and maintainable integrations.
• Integrate agents with backend services and data sources to enable comprehensive data access.
• Implement conversation state management and purpose-bound memory to support contextual interactions.
• Develop Retrieval-Augmented Generation (RAG) ingestion, retrieval, provenance, and citation systems.
• Implement deterministic authorization and policy controls outside the AI models to enforce security and compliance.
• Incorporate human confirmation steps for actions with significant impact.
• Build evaluation suites and automated release gates to ensure quality and safety.
• Establish observability, latency, and cost controls for operational efficiency.
• Implement feature flags, kill switches, and graceful degradation mechanisms.
• Support security reviews, production deployment, and incident response procedures.
• Own canary releases, rollback procedures, and maintain operational runbooks for smooth deployment and maintenance.

Qualifications

• Strong Python engineering experience with expertise in async Python, FastAPI, Pydantic, SQLAlchemy, and Alembic.
• Proven production experience with LangGraph, OpenAI Agents SDK, or comparable agent frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases (e.g., pgvector), and source-grounded generation.
• Hands-on experience with PostgreSQL, Redis, and queue-based asynchronous background processing.
• Knowledge of REST APIs, Server-Sent Events, and distributed system fundamentals such as .