Forward Deployed AI Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Lead technical exploration sessions with clients to gain insights into their systems, data, workflows, and integration needs.

• Convert business requirements and approved architectures into actionable implementation strategies.

• Create production-ready solutions by integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies.

• Work collaboratively with AI Engineers, Architects, and Data Engineers to tackle technical challenges and provide integrated solutions.

• Take ownership of the technical deployment and rollout within the defined scope, ensuring dependable production performance.

• Collaborate closely with client teams to troubleshoot issues, facilitate adoption, and enhance implemented solutions.

• Monitor performance, costs, and business outcomes while documenting reusable engineering best practices.

• Transform successful implementations into reusable Keyrus assets, encompassing integration patterns, deployment practices, technical documentation, and implementation guidance for future projects.

⛳️ Requirements

• Over 5 years of professional experience in software engineering, cloud engineering, enterprise integration, or similar technical delivery roles.

• Practical experience in developing, integrating, and deploying production software or AI-enabled solutions.

• Proven experience in building and maintaining backend services, APIs, and enterprise integrations.

• Familiarity with cloud platforms, deployment processes, and production environments.

• Ability to translate business needs into technical implementation strategies.

• Strong client-facing consulting skills, including the ability to communicate technical decisions and collaborate with business stakeholders.

• Proficient programming skills in Python, TypeScript/JavaScript, Java, C#, or comparable languages.

• Experience with REST APIs, backend services, authentication, and enterprise integrations.

• Hands-on experience with AWS, Azure, or Google Cloud.

• Understanding of Git, CI/CD, testing, containers, and production monitoring.

• Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration.

• Knowledge of application security, system reliability, and cloud deployment methodologies.

• Experience in developing production GenAI applications or agentic workflows is a plus.

• Familiarity with technologies like LangGraph, MCP, OpenAI, Anthropic, or similar is advantageous.

• Experience with Kubernetes, Docker, or infrastructure as code is desirable.

• A background in backend, full-stack, data, or cloud engineering is a plus.

• Experience delivering solutions in regulated or complex enterprise environments is preferred.

• Previous experience in consulting, professional services, or client-embedded engineering roles is beneficial.

🏝️ Benefits

• Health insurance for you and your family members.

• 401K plan.

• Monthly Wellness Allowance.

• 4 weeks of paid vacation.

• Language courses (French & English).

• Access to ongoing education opportunities (in-house training, conferences, events, courses, certifications, etc.).

• Regular social events, including happy hours and trivia nights.