

Focus GTS
Principal AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal AI Engineer (Contract, 6–24 months, Remote) requiring 6–10 years in software/ML engineering, strong Python skills, and expertise in LLMs. Key skills include AI strategy, scalable deployments, and client-facing experience. Competitive pay rate offered.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
October 15, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Scala #Databases #DevOps #Deployment #GraphQL #Kubernetes #TensorFlow #REST (Representational State Transfer) #Docker #PyTorch #AWS (Amazon Web Services) #ML (Machine Learning) #Strategy #AI (Artificial Intelligence) #Cloud #React #Java #Azure #Consulting #Python
Role description
Principal Consultant – AI Forward Deployed Engineer
Remote | Contract (6–24 months)
About the Role
We’re seeking an experienced AI engineer and consultant to help enterprise clients design, build, and scale next-generation AI solutions. In this forward-deployed role, you’ll work directly with customer teams—translating business goals into technical architectures and delivering production-ready generative AI systems that drive measurable business impact.
This is a hands-on, client-facing position blending engineering, consulting, and strategy—ideal for someone who can move fast, prototype quickly, and advise leaders on AI adoption at scale.
Key Responsibilities
• Architect, build, and deploy AI/ML solutions integrated into enterprise workflows.
• Rapidly prototype and iterate on generative AI and full-stack applications.
• Develop scalable pipelines, APIs, and infrastructure for production AI.
• Advise clients on AI strategy, governance, and adoption best practices.
• Capture field insights to shape product and research roadmaps.
• Mentor client teams and lead technical discussions in workshops and executive sessions.
Qualifications
Required:
• 6–10 years in software engineering, ML engineering, or applied AI.
• Strong Python skills (PyTorch, TensorFlow, or equivalent frameworks).
• Deep expertise in LLMs, multimodal AI, fine-tuning, and real-world deployments.
• Proven experience building scalable APIs, pipelines, and distributed systems.
• Excellent communication skills and experience in customer-facing roles.
Preferred:
• Full-stack development (React, Node, Java, REST/GraphQL).
• Hands-on experience with diffusion models, RAG, and vector databases.
• Cloud/DevOps experience (AWS, Azure, Docker, Kubernetes, CI/CD).
• Familiarity with Adobe APIs/platforms is a plus.
• Consulting, solution architecture, or pre-sales experience.
• Understanding of responsible AI principles.
• Entrepreneurial mindset; thrives in fast-paced, ambiguous environments.
Contract Details
• 💻 100% Remote
• 📆 6–24 Month Engagements
• 💰 Competitive hourly compensation aligned to senior/principal market rates
• 🎯 Focus Areas: Diffusion / Stable Diffusion, LLMs, Generative AI, Scalable Deployments
Principal Consultant – AI Forward Deployed Engineer
Remote | Contract (6–24 months)
About the Role
We’re seeking an experienced AI engineer and consultant to help enterprise clients design, build, and scale next-generation AI solutions. In this forward-deployed role, you’ll work directly with customer teams—translating business goals into technical architectures and delivering production-ready generative AI systems that drive measurable business impact.
This is a hands-on, client-facing position blending engineering, consulting, and strategy—ideal for someone who can move fast, prototype quickly, and advise leaders on AI adoption at scale.
Key Responsibilities
• Architect, build, and deploy AI/ML solutions integrated into enterprise workflows.
• Rapidly prototype and iterate on generative AI and full-stack applications.
• Develop scalable pipelines, APIs, and infrastructure for production AI.
• Advise clients on AI strategy, governance, and adoption best practices.
• Capture field insights to shape product and research roadmaps.
• Mentor client teams and lead technical discussions in workshops and executive sessions.
Qualifications
Required:
• 6–10 years in software engineering, ML engineering, or applied AI.
• Strong Python skills (PyTorch, TensorFlow, or equivalent frameworks).
• Deep expertise in LLMs, multimodal AI, fine-tuning, and real-world deployments.
• Proven experience building scalable APIs, pipelines, and distributed systems.
• Excellent communication skills and experience in customer-facing roles.
Preferred:
• Full-stack development (React, Node, Java, REST/GraphQL).
• Hands-on experience with diffusion models, RAG, and vector databases.
• Cloud/DevOps experience (AWS, Azure, Docker, Kubernetes, CI/CD).
• Familiarity with Adobe APIs/platforms is a plus.
• Consulting, solution architecture, or pre-sales experience.
• Understanding of responsible AI principles.
• Entrepreneurial mindset; thrives in fast-paced, ambiguous environments.
Contract Details
• 💻 100% Remote
• 📆 6–24 Month Engagements
• 💰 Competitive hourly compensation aligned to senior/principal market rates
• 🎯 Focus Areas: Diffusion / Stable Diffusion, LLMs, Generative AI, Scalable Deployments