Difficulty Hiring AI Engineers
Access specialized engineers without relying only on lengthy recruitment cycles.
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AI Talent Solutions
Hire AI Engineers & Dedicated AI Development Teams
Scale your AI roadmap with top 3% assessed engineering talent, including AI engineers, LLM developers, embedded teams, and flexible engineering pods aligned with your product goals, technical requirements, and delivery timelines.
Overview
What Are AI Talent Solutions?
AI talent solutions help businesses add specialized AI, software, cloud, data, and product engineering capacity without relying only on long recruitment cycles or permanent hiring.
Companies often need AI engineers, LLM developers, machine learning specialists, full-stack engineers, cloud experts, DevOps engineers, or cross-functional delivery teams to accelerate product development, close technical gaps, and move AI initiatives from prototype to production.
Grayphite provides vetted engineers and embedded AI teams that work with your roadmap, tools, workflows, and internal stakeholders to deliver real product outcomes.
What AI talent solutions can help you achieve
- Access top engineering talent Work with carefully assessed engineers across AI, LLM development, software engineering, cloud infrastructure, DevOps, data engineering, and product delivery.
- Scale engineering capacity Increase delivery speed with individual specialists, dedicated teams, or cross-functional AI engineering pods.
- Accelerate AI and software delivery Move faster on AI products, integrations, infrastructure, and software initiatives without waiting months to hire internally.
- Build with flexibility Adjust roles, team size, and engagement model as your roadmap, priorities, and technical needs evolve.
Engineering capacity
We help teams scale AI delivery
without slowing down.
0%
Top 3% talent, vetted across
AI, software & cloud
AI, software & cloud
0+
Vetted AI engineers & specialists
ready to embed
ready to embed
0%
Work in your timezone,
tools & workflows
tools & workflows
0+
Projects delivered across
AI & software
AI & software
// Trusted acrossAI models, cloud platforms,
product stacks & enterprise tools.
product stacks & enterprise tools.
ISO 27001
ISO 27701
DesignRush
Clutch Verified
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Business challenges
Business Challenges AI Talent Solutions Help Solve
AI talent solutions help businesses overcome hiring bottlenecks, fill technical capability gaps, and scale product delivery without compromising engineering quality.
Limited In-House AI Expertise
Add practical experience in LLM applications, AI agents, machine learning, cloud infrastructure, and product engineering.
Slow Product Delivery
Increase engineering capacity to move critical initiatives forward faster.
Unpredictable Workloads
Scale your team according to project phases, technical priorities, and delivery requirements.
Gaps Between Strategy and Execution
Bring in engineers who can turn AI plans, prototypes, and product ideas into production-ready software.
Need for Flexible Team Structures
Choose staff augmentation, dedicated AI teams, embedded engineers, or AI engineering pods based on your operating model.
How we support your team
AI Talent Solutions for Product and Engineering Teams
We provide six flexible AI talent models that help businesses add the right engineering capability, delivery structure, or senior leadership support based on their roadmap.
Dedicated AI Teams
Build a full-time engineering team assigned exclusively to your product roadmap, technical requirements, and long-term delivery goals.
ViewStaff Augmentation
Add experienced AI, software, data, cloud, DevOps, or QA engineers directly into your existing team to fill specific skill gaps or increase delivery capacity.
ViewAI Engineering Pods
Engage a small cross-functional pod of engineers, technical leads, and delivery specialists to own a defined AI feature, workstream, or product initiative.
ViewHire LLM Developers
Hire specialist LLM developers for RAG systems, AI agents, model integrations, prompt architecture, evaluation, and production generative AI applications.
ViewEmbedded AI Teams
Integrate AI engineers directly into your existing product, engineering, sprint, codebase, and management workflows for closer collaboration and delivery support.
ViewFractional AI Leadership
Access part-time senior AI strategy, architecture, roadmap, governance, hiring, and technical leadership without committing to a full-time executive hire.
ViewIndustry applications
AI Talent Solutions by Industry
The right engineering capacity, aligned with your sector.
HealthTech
AI talent solutions help HealthTech businesses expand engineering capacity while building secure, reliable, and user-focused healthcare products.
- AI engineers for healthcare applications
- LLM developers for knowledge assistants
- Product engineers for patient-facing platforms
- Cloud specialists for healthcare infrastructure
- Embedded teams for ongoing product delivery
FinTech & Financial Services
AI talent solutions help financial organizations add technical capabilities for secure products, complex integrations, and data-intensive workflows.
- AI engineers for financial applications
- LLM developers for document intelligence
- Software engineers for client platforms
- Cloud engineers for scalable infrastructure
- Engineering pods for modernization projects
Ecommerce
AI talent solutions help ecommerce businesses accelerate product improvements, automation initiatives, and AI-powered customer experiences.
- AI engineers for product discovery tools
- LLM developers for customer support systems
- Full-stack developers for ecommerce platforms
- Cloud engineers for scaling and reliability
- Embedded teams for continuous product development
AdTech
AI talent solutions help AdTech businesses scale engineering capacity for data-heavy platforms, campaign tools, and AI-powered workflows.
- AI engineers for campaign intelligence
- Data engineers for analytics pipelines
- Product engineers for reporting platforms
- Cloud specialists for high-volume workloads
- Dedicated pods for platform development
EdTech
AI talent solutions help education businesses build and improve digital learning products with specialized engineering support.
- LLM developers for learning assistants
- Product engineers for education platforms
- AI engineers for content and assessment tools
- Cloud specialists for scalable learning systems
- Embedded teams for ongoing iteration
Consulting
AI talent solutions help consulting firms strengthen internal capabilities and deliver technology initiatives for their clients.
- AI engineers for client innovation projects
- LLM developers for knowledge systems
- Software engineers for client portals
- Cloud specialists for implementation support
- Flexible engineering pods for project delivery
Vetting Process
How We Vet Top 3% Engineering Talent
We evaluate engineers across AI, software development, cloud infrastructure, data engineering, DevOps, and product delivery disciplines. Our vetting process is designed to identify the top 3% of assessed engineering talent based on technical depth, project experience, communication, product thinking, and delivery readiness.
Technical Profile Review
We look for engineers with hands-on experience building AI systems, LLM applications, RAG workflows, model integrations, or AI-powered product features.
Project Experience Assessment
Engineers are assessed on their ability to design scalable systems, understand trade-offs, and make practical technical decisions.
Technical Evaluation
We review problem-solving ability, code structure, maintainability, testing awareness, and production engineering practices.
Communication & Product Mindset
Engineers must be able to work with product managers, technical leads, designers, stakeholders, and distributed engineering teams.
AI-First Engineering Readiness
We prioritize engineers who understand business goals, user needs, and measurable outcomes — not just isolated technical tasks.
Remote Delivery Readiness
We review ownership, accountability, documentation habits, async communication skills, reliability, and ability to integrate into client processes and delivery workflows.
AI Project Estimator
Estimate Your AI Engineering Team Needs
Find the right team structure for your roadmap in minutes. Answer a few questions about your product goals, technical scope, timelines, current team, and delivery priorities. Our estimator will help you identify the likely team composition, engagement model, and recommended next step.
- Recommended team structure Identify whether you need individual specialists, an embedded team, or a dedicated engineering pod.
- Capability assessment Understand which AI, software, cloud, and data roles may be required.
- Practical next step Receive a clear recommendation for moving forward.
Case studies
Real systems Measured outcomes
Featured case study
AI-Powered Website & Marketing Automation Platform
Read the full case study
AI-Powered Google Ads Performance Evaluation Platform
View Case Study
SEM Growth
SEM Growth Transforms Marketing Attribution into Revenue Intelligence
View Case Study
EFC Scales Multi-Product Engineering with Embedded Teams
View Case Study
Polaris Builds AI-Powered Legal Collaboration with RAG-Driven Intelligence
View Case Study FAQ
Frequently Asked Questions
What are AI talent solutions?+
AI talent solutions provide businesses with access to specialized AI engineers, LLM developers, software developers, cloud specialists, data engineers, and delivery teams based on their technical needs.
What types of AI engineers can Grayphite provide?+
Grayphite can provide engineers experienced in AI agents, LLM applications, RAG systems, machine learning, workflow automation, cloud infrastructure, data engineering, and full-stack product development.
Can I hire one AI engineer through Grayphite?+
Yes. You can add an individual AI engineer, LLM developer, cloud engineer, backend engineer, or other specialist to your existing team through staff augmentation.
Can I hire a full AI development team?+
Yes. Grayphite can provide dedicated AI teams or AI engineering pods with the roles needed to support your roadmap, product initiative, or technical workstream.
What is a dedicated AI team?+
A dedicated AI team is a group of engineers assigned to your product roadmap or initiative for ongoing delivery, collaboration, and technical support.
What is AI staff augmentation?+
AI staff augmentation allows you to add individual AI engineers or technical specialists to your existing team based on specific capability gaps or delivery needs.
What is an AI engineering pod?+
An AI engineering pod is a cross-functional delivery team that may include AI engineers, LLM developers, software engineers, cloud specialists, technical leads, and other roles required to deliver a defined workstream.
What is the difference between staff augmentation and a dedicated AI team?+
Staff augmentation adds individual specialists to your existing team. A dedicated AI team provides a more complete delivery unit aligned with a roadmap, product area, or ongoing initiative.
Can Grayphite provide LLM developers?+
Yes. We provide LLM developers experienced in RAG applications, AI search systems, enterprise chatbots, model integrations, prompt engineering, and LLM evaluation workflows.
How do you vet AI engineers?+
We assess AI and LLM project experience, system design ability, code quality, problem-solving, communication, product mindset, and remote delivery readiness.
Can your engineers work with our existing product team?+
Yes. Our engineers can collaborate with your internal product, engineering, design, cloud, and data teams using your existing tools and workflows.
Can the team size change as the project evolves?+
Yes. AI talent solutions are designed to be flexible. Team capacity and skill composition can be adjusted as your roadmap, priorities, and technical needs evolve.
How quickly can an AI engineering team start?+
The timeline depends on the roles, technical requirements, availability, and team size. We define the required capabilities first and recommend a practical onboarding plan.
Do you provide fractional AI leadership?+
Yes. Depending on the engagement, we can provide architecture support, technical planning, delivery leadership, and fractional engineering guidance.
Can your engineers support an existing AI product?+
Yes. Our teams can improve existing products, build new capabilities, integrate models, strengthen infrastructure, optimize performance, and support ongoing delivery.
Can Grayphite provide cloud and DevOps engineers for AI products?+
Yes. We provide cloud and DevOps support for AI applications, including infrastructure, CI/CD, containers, monitoring, deployment, and scalability improvements.
What technologies do your AI engineers work with?+
Our engineers work with leading LLM providers, AI frameworks, vector databases, cloud platforms, backend technologies, frontend frameworks, and DevOps tools based on project requirements.
Can Grayphite take ownership of a complete workstream?+
Yes. An AI engineering pod can own a defined initiative, feature area, or delivery stream while collaborating with your internal team.
What industries do your AI engineering teams support?+
Our teams support HealthTech, FinTech, ecommerce, AdTech, EdTech, consulting, SaaS, and other industries building AI-powered products and software platforms.
How do I start building an AI team with Grayphite?+
Start by sharing your product roadmap, current team structure, technical requirements, and delivery goals. We will recommend the right roles, engagement model, and onboarding approach.
Free consultation · 30 min
Get in touch
San Jose · HQ
123 E San Carlos St, CA 95112
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London
71-75 Shelton St, Covent Garden
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Toronto
1 Yonge St, Ontario M5E 1W7
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