Forward Deployed AI Engineer
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Job Description
Forward Deployed AI Engineer deploying production AI solutions for Keyrus, an enterprise intelligence consultancy. Integrating APIs, cloud platforms, enterprise systems, and client workflows.
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 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
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