AI Field Engineer / Forward Deployed Engineer (FDE)

About Our Client: The organization operates in the artificial intelligence sector, addressing challenges related to deploying AI systems in production environments. It supports AI-native companies by transforming complex AI problems into practical, scalable solutions. The organization focuses on integrating AI applications with existing infrastructure at scale, engaging with both technical teams and business stakeholders to drive impactful AI adoption. About the Opportunity: The AI FIELD ENGINEER / FORWARD DEPLOYED ENGINEER (FDE) will work directly with clients to develop and deploy AI solutions that address specific technical and business needs. This role bridges AI engineering, product development, and customer delivery by building proofs of concept, minimum viable products, and production AI applications. The position involves hands-on coding, system deployment, and collaboration with multiple teams to ensure effective AI integration and ongoing product improvement. Responsibilities: Collaborate with customers to identify technical and business challenges.Design and develop POCs, MVPs, and production AI applications.Deploy and optimize large language model and generative AI workloads.Work with open-source AI models and AI/ML platforms.Partner with customer engineering teams, account executives, and internal product and engineering groups.Translate customer requirements into scalable technical solutions.Troubleshoot complex AI and infrastructure issues.Communicate technical architecture and trade-offs to technical and executive audiences.Contribute code and improvements to the product codebase.Provide product feedback based on customer experiences.Manage projects from initial discovery to production deployment. Requirements: 3–10 years of experience in client-facing technical or AI/ML engineering roles.Strong Python programming skills.Experience building and deploying AI/ML or generative AI applications.Familiarity with large language models and/or open-source AI models.Ability to communicate technical concepts clearly to customers.Experience building POCs and advancing solutions to production.Strong problem-solving skills and ability to work in ambiguous environments.Willingness to work hands-on across engineering, customer delivery, and product teams. Technical experience with any of the following is highly relevant: PythonvLLMSGLangTensorRT-LLMKubernetesAWS, Azure, or GCP cloud platformsAWS Bedrock / SageMakerAzure AI FoundryGCP Vertex AILLM fine-tuning methods such as SFT, DPO, or RFTGPU infrastructureModel inference and optimization Pay Range and Compensation Package: Compensation ranges from $176,000 to $228,000 base salary, with on-target earnings between $220,000 and $285,000, plus meaningful equity.US visa support is provided, including H-1B transfers and TN visas; O-1 visas considered case-by-case. Benefits & Perks: The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.