Forward Deployed AI Engineer

Keyrus USA

7d • $135,000 - $155,000 • Remote

About The Position

Keyrus is hiring a full-time, permanent Forward Deployed AI Engineer to work remotely in the United States. The engineer will work directly with clients to take AI solutions from technical discovery through implementation, deployment, and adoption. The role combines hands-on software engineering, enterprise integrations, cloud technologies, and AI to deliver production-ready solutions within clients’ existing systems, data environments, workflows, and processes.

The position involves understanding client challenges, translating business needs and approved architectures into implementation plans, coordinating technical teams, and taking ownership of technical delivery within the agreed scope. The engineer will support reliable production performance, troubleshoot issues with client teams, improve adoption, monitor costs and outcomes, and turn successful implementations into reusable Keyrus engineering assets.

The role requires at least five years of relevant professional experience, production software and integration experience, cloud experience, and client-facing consulting skills. The stated base compensation range is $135,000–$155,000 USD, depending on experience, skills, location, and internal equity.

Requirements

• At least 5 years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles.
• Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions.
• Experience building and maintaining backend services, APIs, and enterprise integrations.
• Experience working with cloud platforms, deployment processes, and production environments.
• Ability to translate business requirements into technical implementation plans.
• Strong client-facing consulting experience, including communicating technical decisions and working with business stakeholders.
• Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages.
• Experience with REST APIs, backend services, authentication, and enterprise integrations.
• Hands-on experience with AWS, Azure, or Google Cloud.
• Knowledge of Git, CI/CD, testing, containers, and production monitoring.
• Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration.
• Understanding of application security, system reliability, and cloud deployment practices.
• Ability to communicate clearly, collaborate effectively, take ownership of technical delivery, and turn complex challenges into practical solutions.

Nice To Haves

• Experience developing production GenAI applications or agentic workflows.
• Familiarity with LangGraph, MCP, OpenAI, Anthropic, or similar technologies.
• Experience with Kubernetes, Docker, or infrastructure as code.
• Background in backend, full-stack, data, or cloud engineering.
• Experience delivering solutions in regulated or complex enterprise environments.
• Previous experience in consulting, professional services, or client-embedded engineering roles.

Responsibilities

• Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements.
• Translate business needs and approved architectures into practical implementation plans.
• Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies.
• Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions.
• Own technical deployment and rollout within the agreed scope, ensuring reliable production performance.
• Work with client teams to troubleshoot issues, support adoption, and improve implemented solutions.
• Monitor performance, costs, and business outcomes while documenting reusable engineering practices.
• Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements.

Benefits

• Health insurance for the employee and family members.
• 401K plan.
• Monthly Wellness Allowance.
• 4 weeks of paid vacation.
• French and English language courses.
• Access to continuing education, including in-house learning, conferences, events, courses, and certifications.
• A stimulating environment to surpass yourself and discover new horizons.
• A strong culture of innovation and entrepreneurship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed