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AI Engineer

Compunnel Inc.San Francisco, CA🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This hybrid AI Engineer role offers a fantastic opportunity to shape the future of AI applications, working with cutting-edge technologies and mentoring others in a collaborative environment. You'll thrive here if you're a seasoned engineer eager to lead end-to-end AI system development and contribute to impactful projects within a reputable tech company. Apply today to advance your career and make a significant impact!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
8 hours ago
DockerFastAPIMySQLOAuthAgileBigQueryGenerative AIGoogle CloudJWTKubernetesLLMPostgreSQLPythonReactStakeholder ManagementTypeScript

Job Description

Key Responsibilities
Design, develop, deploy, and maintain AI-powered applications using Python, FastAPI, React, TypeScript, and cloud-based AI services. Own assigned AI systems end-to-end, including architecture, development, deployment, operational readiness, production support, and cost optimization. Implement GenAI patterns including prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent architectures, and workflow orchestration. Adopt AI-augmented software development practices and utilize AI coding assistants.

Partner with architects, engineers, and product teams to define and implement technical solutions. Provide technical mentorship and guidance on agentic development practices, AI tooling, and prompt engineering. Build and maintain AI system observability solutions, including tracing, token usage tracking, cost management, and performance monitoring. Perform coding, testing, troubleshooting, and implementation of software enhancements across the full stack. Drive delivery of AI initiatives while managing multiple priorities and competing demands.

Support CI/CD processes and deployment activities, including occasional off-hours deployment support as needed.

Required Qualifications
5+ years of experience
Bachelors Degree
Masters Degree

Skills
Python
FastAPI
React
TypeScript
Cloud-based AI Services
Generative AI Systems
LLMs
Agentic Workflows
RAG Frameworks
AI Orchestration
Prompt Engineering
AI Coding Assistants
LLM Architectures
Google Vertex AI
Gemini
Anthropic Claude
OpenAI Models
LLM Observability Solutions
Asynchronous Programming
Pydantic
SQLAlchemy ORM
State Management Frameworks
PostgreSQL
MySQL
Query Optimization
Database Migrations
Docker
Kubernetes
CI/CD Pipelines
Google Cloud Platform
Cloud Run
BigQuery
OAuth 2.0
JWT Authentication
Role-Based Access Control (RBAC)
Enterprise-scale AI Platforms
Internal Developer Tools
AI Governance
Model Evaluation
End-to-End Ownership
Technical Mentorship
Stakeholder Management
Agile Methodologies
Retail Industry Experience

Schedule
Start date: 2026-09-07

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