Forward Deployed AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $135k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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KeyrusCloud

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏢 Enterprise

☁️ SaaS

Consulting • Enterprise • SaaS

KeyrusCloud is a global consulting firm with a mission to enable a more data-driven world. With over 28 years of experience and a presence in 20 countries across 4 continents, KeyrusCloud offers solutions that harness cutting-edge technologies to drive digital transformation for businesses. The company focuses on collaborative and innovative approaches to problem-solving, emphasizing a strong corporate culture and a commitment to social responsibility. KeyrusCloud is also dedicated to providing quality and service in all its projects, fostering a supportive work environment that encourages professional growth and exposure to new technologies.

📋 Description

• 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 closely 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

🎯 Requirements

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

🏖️ 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 continuing education (in-house, conferences, events, courses, certifications, etc.) • Regular social events, including happy hours and trivia nights