AI Automation Engineer

Responsibilities

• Design and implement production-grade AI agents and robust automation services
• Create robust data pipelines for extraction and LLM-driven transformation
• Integrate with external tools and APIs, including web parsers, email, chat systems, and streaming data
• Expose agent workflows as well-documented APIs or event-driven services
• Focus on building reliable systems with built-in caching, retries, observability, and performance optimization
• Contribute to the development of internal SDKs and frameworks to accelerate AI agent development across the team
• Partner with cross-functional teams to translate use cases into reliable, maintainable solutions

Languages

Required

• 5+ years of professional Python experience, with a focus on modern async and typed code
• Practical experience with event-driven architectures (e.g., Kafka, RabbitMQ)
• Experience with orchestration frameworks (e.g., Dagster, Airflow)
• Proficiency with relational databases (e.g., PostgreSQL) and non-relational databases (e.g., MongoDB, Redis, PgVector)
• Commitment to writing strong unit and integration tests

Nice to have

• Hands-on experience with LLM agent design patterns like ReAct and tool-calling, preferably with frameworks like LangChain
• Strong knowledge of CI/CD practices, preferably with Azure DevOps

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