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Flagship Practice · High Demand

AI, ML & LLM
Engineering.
Built to scale.

Our flagship practice. We place the engineers, researchers, and architects building the next generation of AI products — exclusively at startups and high-growth tech companies.

TalentCube · Neural Match
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LLMTransformerRAGFine-tuneEmbeddingsAttentionGPT-4VisionMLOpsRLHFVectorDBInferencePromptEngClaude
Forward Signal
Backprop
LLM Core
46 streams active
LLM-Native
We only place engineers with production AI experience, not bootcamp grads
3:1
Avg. submittals to offers ratio
Startup DNA
Engineers who've built zero-to-one
S-Tier
Candidates from FAANG, unicorns, and proven startups
Role Families

Every function on
the AI engineering team.

Select a discipline to see the roles, stack, and clients we place across.

LLM Engineering

LLM Engineers are the core of any AI product team. They bridge research and production — fine-tuning models, designing RAG pipelines, and building the infrastructure that makes LLMs reliable in the real world. Demand has outpaced supply by 4:1 since 2024 and shows no sign of slowing.

AI-native startups, enterprise AI teams, and product companies embedding LLMs into their core product.
Stack & Tools
OpenAI API / Azure OpenAIAnthropic ClaudeLlama 3 / MistralLangChain / LlamaIndexHuggingFace TransformersFAISS / Pinecone / WeaviatevLLM / TGIRLHF / DPO
Roles We Place
LLM Engineer
Production-grade prompt engineering, fine-tuning, and RAG system design.
Prompt Engineer
Systematic prompt optimization, evaluation frameworks, and chain-of-thought design.
RAG Architect
Vector DB selection, chunking strategies, retrieval pipeline optimization.
Fine-Tuning Specialist
LoRA, QLoRA, PEFT — domain adaptation and instruction tuning.
AI Product Engineer
Full-stack engineers who ship AI-native features end-to-end.
How We Engage

Contract sprint
or permanent hire.
Your call.

AI hiring doesn't fit one model. Some teams need a contractor in the room by Monday. Others need the engineer who's still there at Series D. We do both.

Contract

Sprint capacity. Production speed.

AI moves fast. When you're mid-launch, scaling a new model, or backfilling a critical engineer, you can't wait 90 days for a full-time hire. Our contract bench gives you access to pre-vetted AI talent ready to contribute from week one — with flexible terms to match your roadmap.

Typical start in 72hrs
W2, corp-to-corp, and 1099 options
SOW and milestone-based engagements
Short-term sprints to multi-year retainers
On-site, remote, and hybrid
Mid-Launch Backfill
LLM or MLOps engineer left mid-sprint? We can have a qualified contractor active within 72 hours.
Project-Scoped Builds
Statement of Work (SOW) engagements for defined deliverables: RAG systems, fine-tuning runs, data pipelines.
Team Augmentation
Add 1–5 engineers to an existing team for a quarter without the overhead of a full-time headcount request.
Hypercare & Launch Support
On-call AI engineers for go-live support, model monitoring, and post-launch optimization.
TalentCube
TalentCube AI
Proprietary Match Engine

How we find
the right engineer,
instantly.

TalentCube is our proprietary AI platform that scores thousands of vetted candidates against your exact job requirements, compensation range, and location preferences — surfacing your top matches instantly.

Technical requirements and stack alignment
Compensation and equity expectations
Location, remote preference, and availability
Culture fit and startup vs. enterprise experience
Match Criteria Weighting
Technical Requirements98%
Compensation Alignment94%
Location / Remote Fit100%
Experience & Seniority91%
Result: Top matches delivered instantly
No bulk resumes. No noise. Just your top 3 candidates.
Who We Serve

Built for companies
that can't afford to wait.

AI-Native Startups

Seed to Series C founders who need to ship AI products fast and can't afford a mishire.

Enterprise AI Teams

Large organizations standing up internal AI centers of excellence or modernizing legacy ML pipelines.

VC-Backed Scale-Ups

Companies scaling from prototype to production who need ML platform and LLM engineering talent.

Research Labs & Applied AI

Organizations building at the frontier: needing PhDs, research engineers, and model architects.

For Employers

Ready to hire a AI/ML & Software Engineering specialist?

Submit a brief and TalentCube will surface your top matches instantly.

Submit a Hiring Brief
For Job Seekers

Looking for your next AI/ML & Software Engineering role?

Browse open roles or get matched to opportunities that aren't posted anywhere else.

Browse Open Roles