Frontline AI Engineer: Build Real-World AI Systems

Marvik; United States; On-site; USD 140,000 - 230,000; Full time

Job summary

Marvik is seeking a Forward Deployed AI Engineer to work directly with customers, designing and deploying scalable AI solutions across industries. You will prototype rapidly, validate ideas with users, and deploy production-grade systems using modern AI frameworks and cloud platforms.

You will collaborate with engineers, researchers, and business stakeholders to drive measurable impact, adapt architectures for client environments, and travel on-site to meet clients as needed.

Qualifications

• 7+ years in software engineering with at least 2 years delivering AI solutions.
• 4+ years building AI systems end-to-end.

Responsibilities

• Partner directly with customers to understand complex business challenges and translate them into scalable AI solutions.
• Design solution architectures and end-to-end AI systems from concept to production.
• Prototype quickly, validate ideas with users, and iterate based on real-world feedback.
• Build production-ready AI applications using modern frameworks, cloud platforms, and best engineering practices.
• Develop intelligent agents, RAG applications, recommendation systems, computer vision pipelines, and machine learning solutions.
• Architect scalable, reliable, and maintainable software systems that integrate seamlessly with customer environments.
• Collaborate with researchers, engineers, product teams, and customer stakeholders to deliver measurable business impact.
• Drive technical decisions around system design, AI architecture, scalability, and performance.

Skills

Python

AI frameworks

Cloud platforms

Communication

English

Customer collaboration

Problem solving

AI-first development

Tools

LangChain

LangGraph

RAG

Vector databases

FastAPI

CI/CD

MLOps

Job description

Marvik is seeking a Forward Deployed AI Engineer to work directly with customers, designing and deploying scalable AI solutions across industries. You will prototype rapidly, validate ideas with users, and deploy production-grade systems using modern AI frameworks and cloud platforms.

You will collaborate with engineers, researchers, and business stakeholders to drive measurable impact, adapt architectures for client environments, and travel on-site to meet clients as needed.