Remote AI SDLC Engineer: Automate & Improve AI Workflows

Ladders; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity awards

Wellness programs

Vacation and holidays

Parental and adoption leaves

Professional development opportunities

Job summary

Ladders is seeking an Engineer III, AI SDLC Engineer to join the team. The role focuses on building intelligent automation that improves the software development lifecycle and helps engineering teams work more efficiently.

You will design systems for information grounding, model routing, and AI-assisted workflows, partnering with engineers to validate improvements with benchmarks and promote responsible AI adoption across the organization.

Qualifications

• 5+ years of backend or platform engineering experience, preferably with production Kubernetes systems.
• Hands-on experience with LLM-agent infrastructure and tool integration.
• Strong understanding of LLM mechanics, including context windows and prompts.
• Experience building internal developer platforms and observability tooling.

Responsibilities

• Design and build automated workflows for the software development lifecycle (SDLC).
• Enhance context-grounding systems for accurate information retrieval.
• Optimize model routing for task efficiency and cost-effectiveness.
• Develop observability and quality tools to monitor agent performance.
• Establish benchmarks against real-world tasks for empirical validation of improvements.
• Collaborate with engineering teams to automate high-friction workflow points.
• Promote responsible AI adoption within the engineering culture.

Skills

Backend engineering

Kubernetes

LLM-agent infra

Go

Python

Observability tooling

Prompt design

Tools

Tool integration protocols

Internal developer platforms

Job description

Ladders is seeking an Engineer III, AI SDLC Engineer to join the team. The role focuses on building intelligent automation that improves the software development lifecycle and helps engineering teams work more efficiently.

You will design systems for information grounding, model routing, and AI-assisted workflows, partnering with engineers to validate improvements with benchmarks and promote responsible AI adoption across the organization.