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Python Backend Engineer with AI Agent

Fourth
Santa Clara, CA, United States
5 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Distributed Systems Python (Programming Language) Performance Tuning SQL Databases Systems Integration Workflow Management Systems GitHub Copilot Database Performance Backend
+2 more
Virtual Agents Microservices

Job description

  • Develop scalable backend services and APIs using Python.
  • Build and maintain AI agents, system integrations, and MCP connectors.
  • Develop and optimize SQL queries and database operations.
  • Troubleshoot performance issues and optimize backend systems.
  • Work with distributed systems, microservices, and asynchronous processing.
  • Use AI-assisted development tools such as Codex, Claude, or GitHub Copilot.
  • Collaborate with engineering teams on scalable and reliable solutions.

Requirements

  • Strong Python and backend engineering experience.
  • Strong SQL/database skills.
  • Experience with APIs, integrations, and distributed systems.
  • Experience with backend/database performance optimization.
  • Hands-on experience with AI development/coding tools.
  • Experience with AI Agent development / Agent SDK.
  • Experience with MCP / MCP connectors.
  • Experience with Temporal or workflow orchestration is a plus.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

1:52 min

Evolution of distributed SQL database management systems

Akmal Chaudhri Akmal Chaudhri · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

Videos

See all
Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • over 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

On a Secret Mission: Developing AI Agents thumbnail
29:03
World Congress 2025 • about 1 year ago

On a Secret Mission: Developing AI Agents

Jörg Neumann

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
World Congress 2025 • about 1 year ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone thumbnail
27:27
World Congress 2026 Europe • 2 months ago

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone

Daniël van Eeden, Mattias Jonsson

Related articles

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