Backend Python AI Engineer

Job summary

Develop and maintain Python backend services, platform components, CLI tools, and containerized deployments with automated CI/CD. Build and optimize RAG and ingestion workflows, implement agent systems, and improve retrieval quality, grounding, citations, and AI evaluation.

Job details

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.

What you’ll do

Develop and maintain Python backend services, platform components, CLI tools, and containerized deployments with automated CI/CD. Build and optimize RAG and ingestion workflows, implement agent systems, and improve retrieval quality, grounding, citations, and AI evaluation.

Requirements

Requires strong hands-on Python development experience and experience building CLI tools, with practical knowledge of LangChain, LangGraph, RAG, embeddings, vector search, and pgvector. Candidates should also have experience with Docker and GitHub Actions, observability, distributed systems, data pipelines, and evaluation of LLM-powered applications.

Listed skills

• Python · Preferred
• Docker · Preferred
• Kubernetes · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• CLI Development
• LangChain
• LangGraph
• RAG Pipelines
• Embeddings
• Vector Search
• pgvector
• Docker
• GitHub Actions
• Kubernetes
• Helm
• Observability
• Distributed Systems
• Data Pipelines
• LLM Evaluation

Job areas

• Software
• Technology
• Data & Analytics
• Engineering

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