AI · Web3 · Emerging Tech.Operated by AB7.
AI / Web3 / emerging-tech companies need production LLM engineers, smart contract developers, and AI/ML specialists — exactly the talent pools that are most expensive and hardest to hire locally.
The argument, in one page.
- $210k+fully-loaded US senior AI/ML engineer cost
- 8-weektypical UAE/AU notice period for AI engineers
- 60-70%cost savings via AB7
Emerging tech companies don't lose to better products. They lose to slower hiring.
AI / Web3 / emerging-tech companies need production LLM engineers, smart contract developers, and AI/ML specialists — exactly the talent pools that are most expensive and hardest to hire locally.
We'll map your specific ai · web3 · emerging tech ops gaps to the bench AB7 can deploy in 7–14 days.
Book the briefingFive fires inside AI · Web3 · Emerging Tech ops.
What we hear from ai · web3 · emerging techoperators isn't a strategy gap — it's an execution gap. The roadmap is fine. The spreadsheet is fine. What's missing is the bench required to actually run it. That's what we built AB7 for.
Below: the five fires we keep finding inside this category. Each one maps cleanly to one of AB7's six service pillars — which is the point of the rest of this brief.
“Most ai · web3 · emerging techbuyers don't need more advice — they need staffed seats.”
- .01
Senior AI/ML engineers cost $200k+
Production LLM engineers in US/UK/AU markets quoted $200k-300k with rare availability. Series-A budgets break.
- .02
Smart contract / Web3 developers rare
Solidity, Rust, Move developers in short supply globally. AB7 sources from blockchain-trained pools.
- .03
AI training data + labeling at scale
Foundation model training needs labeled data at scale. Specialized AI training data ops teams.
- .04
Specialized DevOps for AI workloads
GPU-cluster ops, model deployment pipelines, vector database operations require AI-DevOps specialists.
- .05
Multi-jurisdiction regulatory navigation
AI Act (EU), Web3 securities laws — compliance specialists familiar with emerging-tech regulation.
The six pillars, mapped to your fires.
One MSA covers all six. Add or drop pillars without re-papering the engagement.
- 01Pillar
IT, Software & Tech
AI/ML Engineers, Solidity Devs, MLOpsSolvesBuild the AI/Web3 engineering bench
- 02Pillar
BPO / KPO
AI training data, labeling, RLHF feedbackSolvesFoundation model + agent training data at scale
- 03Pillar
Cybersecurity
Smart contract auditors, AI securitySolvesAudit pre-deployment + AI safety ops
- 04Pillar
Sales · Marketing · HR-Ops
Developer-relations + community opsSolvesBuild dev community + product-led growth
- 05Pillar
Finance & Accounting
Crypto + multi-currency accountantSolvesToken + crypto + multi-currency accounting
- 06Pillar
Recruitment
AI/Web3-specialty recruiterSolvesSource niche specialists at speed
Roles you can deploy this quarter.
A typical AI · Web3 · Emerging Tech engagement opens with 2–3 seats and expands. All seats sit under a single MSA.
- Part-time (20 hrs/wk)
- Full-time (40 hrs/wk)
- Fractional (executive)
- Project-based / RPO
- No.Role · PillarFrom
- 01AI / ML Engineer (LLM, RAG)TechFrom$2,800 / mo
- 02Smart Contract / Solidity DeveloperTechFrom$2,400 / mo
- 03MLOps / AI InfrastructureTechFrom$2,400 / mo
- 04AI Training Data SpecialistBPOFrom$900 / mo
- 05Developer Relations / CommunityGTMFrom$1,400 / mo
Indicative monthly rates. Final pricing varies by seniority, geography (India / Philippines) and shape. Add headcount any time without re-papering the MSA.
What changes, and when.
Outcomes tracked weekly inside your shared dashboard — not promised in a deck.
The first 14 days are setup and absorption. Real movement on metrics begins around Day 30. By Day 90, the bench is steady-state and you're measuring outcomes — not the engagement.
Most ai · web3 · emerging tech operators recoup setup cost by Day 60 from a combination of savings + uplift on the metrics below.
- MilestoneDay 14
Production LLM / RAG / agent systems shipped in 8-12 weeks
- MilestoneDay 30
Smart contract development at 60-70% cost savings vs US/UK
- MilestoneDay 60
AI training data ops scalable to 1000s of labels/week
- MilestoneDay 75
Crypto + token accounting clean for compliance
- MilestoneDay 90
Single MSA across all categories
Compliance and tools, the quiet way.
No surprises at audit time. We sign your DPA, follow your stack, document everything in your dashboard.
- EU AI Act readiness
- ISO 42001 (AI management)
- GDPR / DPDP for AI training data
- Multi-jurisdiction crypto/token compliance
- OpenAI · Claude · Llama · Mistral · Cohere
- LangChain · LlamaIndex · Pinecone · Weaviate
- PyTorch · TensorFlow · Hugging Face
- Solidity · Rust · Foundry · Hardhat
- AWS · GCP · MLflow · Weights & Biases
We don't sell, resell, or distribute these platforms. Our remote staff operate on your existing accounts under your governance. All trademarks belong to their respective owners.
An engagement, in case-file form.
A composite drawn from real AI · Web3 · Emerging Tech deployments. Names redacted, structure intact.
Series-A AI agent platform — production launch in 8 weeks
Sydney Series-A AI startup needed senior AI engineer for production RAG + agents. AU market quoted A$200k+ with 8-week notice.
AB7 placed senior AI engineer with OpenAI + LangChain + Pinecone production experience in 14 days. Full AEDT overlap.
Production RAG shipped in 8 weeks. A$110k/yr saved. 12-month retention to date.
What AI · Web3 · Emerging Tech buyers ask before signing.
Need a remote AI / ML Engineer (LLM, RAG)
for ai · web3 · emerging tech?
One MSA. Six pillars. A bench that already speaks ai · web3 · emerging tech. Your first hire goes live in 7–14 days.