Engineer III, AI SDLC Engineer (Remote)

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

For our client, we are seeking a Engineer III, AI SDLC Engineer to join the team of a leader in the Information Technology space. This role will focus on building intelligent automation that improves the software development lifecycle and helps engineering teams work more efficiently. You will design systems that strengthen information grounding, improve model routing, and increase the reliability and quality of AI-assisted workflows. The position also involves partnering closely with engineering teams to reduce friction, validate improvements with real-world benchmarks, and promote responsible AI adoption across the organization.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $120,000 - $180,000 annually

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

Qualifications

• 5+ years of backend or platform engineering experience, preferably with production Kubernetes systems
• Hands-on experience with LLM-agent infrastructure, including harnesses and tool-integration protocols
• Strong understanding of LLM mechanics such as context windows and prompt design
• Proven ability to leverage AI technologies for workflow enhancement and efficiency
• Comfortable working with ambiguous and evolving specifications
• Proficiency in Go and/or Python
• Experience building internal developer platforms and observability tooling

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees
• Employee networks and volunteer opportunities to foster connections
• Vibrant office culture with world-class amenities

Our client is an equal opportunity employer.