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# Senior Python AI Engineer

- **Company:** Pyramid Technology Solutions
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Compilers, Databases, Extract Transform Load (ETL), Github, Python (Programming Language), Log Analysis, Regression Testing, Search Technologies, SQLAlchemy, LangChain, Large Language Models, Backend, Fastapi, Pgvector, Kubernetes, Low Latency, Machine Learning Operations, Data Pipelines, Docker, Golang
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/70abfe07-dff3-4597-b496-d8227bfbfccb

## About the Role

* 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.

## Description

* Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg.
 * Design retrieval and orchestration trade-offs around 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 rather than optimizing for demo behavior.
 * Create observability and operational feedback loops with OpenTelemetry, PrometheGrafana, Docker/Helm, and GitHub Actions.
 * Work closely with product and engineering partners to support multiple conversational surfaces through one knowledge platform.
 * Ingestion infrastructure across current and future content sources.
 * Observability across application, pipeline, database, and model-serving behavior.
 * Cost, latency, throughput, and failure-mode management for AI-heavy workloads.
 * Release workflows that validate AI behavior changes, not just code compilation.