Agentic Software Engineer - Build Reliable AI Workflows

Uber

New York (NY)

On-site

USD 171,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

401(k) plan
Bonuses and equity

Job summary

Agentic Pods is seeking an Agentic Software Engineer to design, build, and operate production-grade agentic systems that improve complex operational workflows. You will embed with operators, identify where automation and AI can help, and translate ambiguous problems into reliable software.

You will own solutions from discovery through architecture, implementation, production rollout, and ongoing operation, partnering with Security, Privacy, Legal, and Data to ensure safe, explainable, and

Qualifications

  • Bachelor’s degree or 1 year software engineering experience, in one or more listed areas.
  • Strong experience designing and building production backend or distributed systems including agentic apps, AI-enabled workflows, APIs, and data pipelines.
  • Experience owning and improving production systems, including monitoring, incidents, and recovery.

Responsibilities

  • Discover and build agentic systems and production components with operators and domain experts.
  • Own production reliability, define targets, and implement observability, tracing, logging, and incident response.
  • Make agents safe with evaluations, controls, and governance across risk areas with security, privacy, and data teams.
  • Build for reuse and scale by creating reusable skills and platform components and setting architectural standards.

Skills

Backend engineering
Reliability engineering
Agentic systems design
LLMs integration
Security & data privacy
Collaboration with operators

Education

Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field

Tools

APIs

Job description

Agentic Pods is seeking an Agentic Software Engineer to design, build, and operate production-grade agentic systems that improve complex operational workflows. You will embed with operators, identify where automation and AI can help, and translate ambiguous problems into reliable software.

You will own solutions from discovery through architecture, implementation, production rollout, and ongoing operation, partnering with Security, Privacy, Legal, and Data to ensure safe, explainable, and

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