Senior Python AI Engineer

Quick Facts

• Role: Senior Python AI Engineer

• Location: Remote

• Duration: 6+ months

Description

Architect and implement backend services and AI agent runtime capabilities in Python 3.11 and modern frameworks. Drive retrieval/orchestration trade-offs, improve grounding and failure analysis with citation enforcement, and build end-to-end observability and operational feedback loops. Support ingestion infrastructure and release workflows that validate AI behavior changes.

Responsibilities

• Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy (async), and asyncpg

• Design retrieval and orchestration trade-offs for quality, latency, cost, safety, and operational simplicity

• Build production-grade agent runtime capabilities: memory boundaries, tool sandboxing, permissions, and budget controls

• Improve answer grounding, failure analysis, and citation enforcement

• Create observability and operational feedback loops with OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions

• Collaborate with product and engineering partners to support multiple conversational surfaces through one knowledge platform

• Build ingestion infrastructure for current and future content sources

• Provide observability across application, pipeline, database, and model-serving behavior

• Manage cost, latency, throughput, and failure-mode handling for AI-heavy workloads

• Implement release workflows that validate AI behavior changes

Requirements

• Strong hands-on experience with Python in platform, automation, or infrastructure-heavy environments

• Experience building CLI tools using Python, Golang, or Rust

• Hands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines

• Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement

• Strong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows

• Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems

• Strong observability skills across metrics, tracing, dashboards, alerting, and log analysis

• Experience with ingestion, ETL, or content-processing pipelines at scale

• Ability to think in terms of reliability, cost, latency, throughput, and recovery

Benefits

• Remote work

• Contract duration of 6+ months