We are looking for a hands-on Python AI Engineer to build and enhance an enterprise knowledge platform evolving from traditional RAG-based chatbots toward advanced, agent-driven knowledge systems.
Mandatory Technical Skills
- Python: Strong hands-on development experience in platform engineering, automation, or backend infrastructure.
- CLI Development: Experience building command-line tools using Python, Go, or Rust.
- AI Frameworks: Hands-on experience with LangChain and LangGraph.
- Retrieval Systems: Understanding of RAG pipelines, embeddings, vector search, and pgvector.
- Containers & CI/CD: Strong experience with Docker and GitHub Actions; familiarity with Kubernetes-based workflows and Helm.
- Observability: Experience with metrics, distributed tracing, dashboards, logging, alerting, and troubleshooting production issues.
- Distributed Systems: Ability to diagnose failures and improve reliability, performance, and scalability across interconnected services.
- Data Pipelines: Experience with ingestion, ETL, content processing, or similar large-scale pipelines.
- LLM Evaluation: Understanding of evaluation frameworks, quality measurement, and regression testing for AI-powered applications.
Key Responsibilities
- Develop and maintain Python-based backend services and platform components.
- Build and optimize RAG pipelines, knowledge ingestion workflows, and hybrid retrieval capabilities.
- Implement AI agent workflows using LangChain and LangGraph.
- Develop Python-based CLI tools for automation, platform operations, and troubleshooting.
- Improve retrieval accuracy, response grounding, citation quality, and LLM evaluation.
- Build and maintain containerized deployments and automated CI/CD pipelines.
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