Architect MLE

Ladders; United States; On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Influence and innovate at a rapidly成长

Upskill through solving complex挑战 with

Collaborate in a research-focused环境与著作

Engage with cutting-edge AI, ML, and云技

Experience a vibrant company culture

Job summary

Ladders, a leader in IT solutions, seeks an Architect MLE to design and deliver advanced machine learning systems. You will shape architectures for multi-agent applications, collaborating with engineering and cloud teams to scale AI for enterprise use cases.

The role emphasizes technical leadership across model integration, infrastructure, and operations, with emphasis on autonomous systems and pragmatic execution in a fast-moving environment.

Qualifications

• 6–8 years of experience in ML and AI engineering with production systems.
• Experience building multi-agent systems and agentic workflows using Langraph/CrewAI.
• Proficient in Python and ML frameworks including TensorFlow and PyTorch.
• Hands-on experience with vector databases and scalable RAG systems.
• Production-level cloud platform experience (AWS, GCP, or Azure).
• Strong skills in Infrastructure as Code and CI/CD pipelines.
• Exceptional problem-solving, communication, and leadership abilities.

Responsibilities

• Architect and develop end-to-end multi-agent systems from scratch
• Engineer advanced agent capabilities through custom tools and skills
• Implement context engineering for memory management and learning
• Deploy production-grade solutions on major cloud platforms, ensuring scalability
• Integrate and optimize LLMs as core reasoning engines for autonomous agents
• Maintain comprehensive tool libraries for agent interactions
• Establish metrics and KPIs for measuring agentic system performance

Skills

Langraph/CrewAI

Python

TensorFlow

PyTorch

Vector databases

RAG systems

AWS/GCP/Azure

Infrastructure as Code

CI/CD pipelines

Leadership

Communication

Job description

For our client, we are seeking a Architect MLE to join the team of a leader in the Information Technology space.

This role will shape the design and delivery of advanced machine learning systems that move from concept into production. You will lead the architecture of multi-agent solutions, working closely with engineering and cloud teams to build scalable AI capabilities for enterprise use cases. The position calls for strong technical leadership across model integration, infrastructure, and operational performance, with an emphasis on autonomous systems and practical execution in a fast-moving environment.

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

Compensation: $135,000 - $160,000 annually

Responsibilities

• Architect and develop end-to-end multi-agent systems from scratch
• Engineer advanced agent capabilities through custom tools and skills
• Implement context engineering for memory management and learning
• Deploy production-grade solutions on major cloud platforms, ensuring scalability
• Integrate and optimize LLMs as core reasoning engines for autonomous agents
• Maintain comprehensive tool libraries for agent interactions
• Establish metrics and KPIs for measuring agentic system performance

Qualifications

• 6-8 years of experience in machine learning and AI engineering with ML systems in production
• Expertise in building multi-agent systems and agentic workflows using Langraph/CrewAI
• Proficient in Python and ML frameworks including TensorFlow and PyTorch
• Hands-on experience with vector databases and scalable RAG systems
• Production-level cloud platform experience (AWS, GCP, or Azure), including compute and serverless services
• Strong skills in Infrastructure as Code and CI/CD pipelines
• Exceptional problem-solving, communication, and leadership abilities

Benefits

• Influence and innovate at a rapidly growing AI-first digital engineering company
• Upskill through solving complex challenges with talented colleagues
• Collaborate in a research-focused environment with numerous patents
• Engage with cutting-edge AI, ML, and cloud technologies while working alongside Fortune 500 clients
• Experience a vibrant company culture with enthusiastic team members

Our client is an equal opportunity employer.