Hire · AI Engineers
Hire AI Engineers Who Build Production AI Systems
WeiBlocks delivers senior AI engineers with shipped production experience — LLM integrations, RAG pipelines, AI agents, fine-tuned models, and ML systems. Staff aug, project delivery, or hybrid.
Quick Answer
WeiBlocks provides pre-vetted AI engineers with production experience in LLM integration (Claude, GPT-5, Gemini, open-source models), RAG pipelines with vector databases (Pinecone, Qdrant, Weaviate), AI agent frameworks (LangChain, LlamaIndex, custom), and fine-tuning workflows (LoRA, full fine-tunes). Engineers join via staff augmentation (3+ months) or project delivery. Available within 2 weeks. We prioritize engineers who've shipped production AI — not demo prototypers.
Pricing: Starting at $110/hr · $18K/mo FTE
What AI Engineers Do at WeiBlocks
LLM Integration
Anthropic Claude, OpenAI GPT-5, Google Gemini, open-source models (Llama, Mistral, Qwen). Multi-model orchestration when needed.
RAG Pipelines
Vector DBs (Pinecone, Qdrant, Weaviate, pgvector), embedding strategies, hybrid retrieval, reranking, multi-step retrieval.
AI Agent Development
Custom agent frameworks, LangChain/LlamaIndex when justified, tool use, multi-step reasoning, evals.
Fine-Tuning & Training
LoRA, QLoRA, full fine-tunes (Hugging Face Trainer), DPO, instruction tuning. Both API providers and self-hosted.
Evaluation & Monitoring
Eval harnesses, regression detection, prompt monitoring, LangSmith/LangFuse, custom dashboards.
Production AI Systems
Caching, fallbacks, retries, structured outputs (JSON schema, tools), latency optimization, cost monitoring.
Engagement Models
Staff Augmentation
AI engineers embedded in your team for ongoing AI feature development. 3+ months minimum.
Project Delivery
Defined AI system (chatbot, agent, RAG pipeline) scoped, built, and shipped. Milestone billing.
AI Strategy + Architecture
Short engagement (2–6 weeks) for architecture, model selection, eval design, and roadmap. Useful before a bigger build.
Tech Stack
The tools and libraries our AI engineers use day-to-day in production engagements.
WeiBlocks vs. Typical Hiring Channels
| WeiBlocks | Typical Alternative | |
|---|---|---|
| Production focus | Eval, monitoring, fallbacks built in | Demo prototypers |
| Model coverage | Claude, GPT-5, Gemini, open-source | Usually OpenAI-only |
| RAG depth | Hybrid retrieval, reranking, evals | Vector DB + chunking only |
| Fine-tuning | LoRA + full fine-tunes, DPO | Usually prompt-only |
| Cost monitoring | Built into every deployment | Surprise bills |
| AI + Web3 | AI agents on Solana, smart contracts | AI only |
Our Process
- 01
Discover & Strategise
Define business goals, tech requirements, budget & timeline.
- 02
Design & Prototype
Wireframes, smart contract logic, system architecture & technical specs.
- 03
Build & Deploy
Full-stack development, smart contracts, AI integration & testnet launch.
- 04
Scale & Secure
QA testing, security audits, mainnet deployment & ongoing support.
Frequently Asked Questions
Which LLM providers do your AI engineers work with?
Claude (Anthropic), GPT-5 (OpenAI), Gemini (Google), and open-source models (Llama, Mistral, Qwen). We pick the right model per use case — not whatever we have a contract with. Multi-model orchestration is common.
Can you fine-tune open-source models?
Yes — LoRA, QLoRA, full fine-tunes, DPO, instruction tuning. We've fine-tuned Llama, Mistral, Qwen on customer-specific data when off-the-shelf models underperform. Self-hosted with vLLM/TGI is common for cost or privacy reasons.
Do you build agentic systems or just chatbots?
Both — but agents are increasingly the focus. Multi-step autonomous agents with tool use, memory, and planning. Common use cases: customer support, sales ops, document processing, code generation, trading.
How do you handle AI evals?
Eval harnesses are part of every production AI build — synthetic dataset generation, golden-set regression tests, LLM-as-judge for open-ended outputs, and human-in-the-loop review where needed. LangSmith / LangFuse for ongoing monitoring.
What does an AI engineer cost?
Senior AI engineers via staff aug: $110–$200/hr or $18K–$32K/month FTE. Strategy/architecture engagements: $8K–$25K depending on scope. Full project delivery: scoped per project.
Related Service
Want the full project-delivery story (not staff augmentation)? See our ai engineers service page.
Hire AI Engineers via WeiBlocks
Free 30-min strategy call. Tell us what you're building and the timeline — we'll match you with the right engineer in under a week.