The hire takes 4 months. The work can start next week.
Most AI initiatives stall in the hiring loop. A senior ML engineer FTE search is 4–6 months and a $300K+ comp package. Standing up a 5-person AI team takes 9 months and a $2M+ payroll commitment. Meanwhile your GenAI POC sits idle, your competitors ship, and your board asks why the AI roadmap missed the quarter. Our bench is the bridge — drop in a senior engineer in a week, or stand up a full embedded team with a tech lead and project owner included, scope the work in 12 weeks, kill it fast if it isn't working, and only convert to FTE when the role and the person are both proven.
Senior depth across the full AI stack
Our 50+ consultants hold PhDs and senior practitioner roles from Carnegie Mellon, Stanford, Caltech, UC Berkeley, NYU, Georgia Tech, and Rensselaer. They've built and shipped at Microsoft, Meta, X, Goldman Sachs, Moore Capital, the U.S. Department of Energy, NIH, and the Active Inference Institute. Every engineer on the bench is client-facing and forward-deployable — they embed with your team, present to your execs, and communicate like operators, not back-office contractors. Five patents filed. 1,000+ citations. $5.8M+ in DoD/NSF research led.
Generative AI & LLM Engineering
Enterprise GenAI POCs, LLM fine-tuning (LoRA, GRPO), RAG pipelines (pgvector, ChromaDB), and multi-agent frameworks shipped on GPU infrastructure.
Machine Learning at Scale
Production ML pipelines processing 100B+ data points/day. MLOps managing 10+ models at 90%+ accuracy. Technology acquired by HPE and Microsoft.
NLP & Biomedical Text Mining
Transformer models (BERT, GPT-family), clinical NLP, financial news parsing (1M+ articles), and trust & safety classification at internet scale.
Quantum Computing & Post-Quantum Security
IBM Quantum Network member. Quantum algorithms (QAOA, VQE), quantum-classical hybrid ML for medical imaging, post-quantum cryptography on HIPAA infrastructure.
Cloud Security & Trust/Safety
Cloud identity governance across AWS, Azure, GCP, VMware (patented). Adversarial ML and abuse detection at two of the world's largest social networks.
GPU, HPC & Infrastructure
GPU cloud observability tracking 600+ time series across 4,000+ GPUs. CUDA kernel optimization to 92% of roofline. Petascale supercomputing platforms.
Quantitative Finance & Risk
Goldman Sachs quant research, Moore Capital ($10B macro fund), Penghua Fund ($8.5B AUM) pedigree. Portfolio analytics, fund-of-funds, pre-IPO advisory.
Software Engineering & Data Platforms
Distributed systems on Kafka, Spark, Kubernetes. Real-time pipelines monitoring 2M+ daily brand mentions. Production blockchain/DeFi at $5M+ annual volume.
Complexity Science & Active Inference
Published alongside Karl Friston (812+ Google Scholar citations). Active inference for autonomous decision-making, multi-scale modeling, cadCAD-certified.
One engineer or a turnkey team — with leadership included
Most contract benches send you an engineer and walk away. We send you a unit that ships. Every engagement above 2 engineers comes with the tech lead, project owner, and senior reviewer built in — no separate fees, no surprise gaps in ownership. You get a self-contained team that delivers, not a stack of resumes you have to project-manage.
Solo Specialist
1 senior engineer. focused POC, narrow technical scope, augmenting an existing internal team.
Senior IC engineer (Principal or Staff level)
Pod
3-person embedded unit. shipping a real feature, GenAI POC to production, MLOps stand-up.
Tech Lead + 2 senior engineers, weekly exec readout
Full Squad
5-7 person embedded team. standing up an entire AI initiative, multi-quarter platform build, parallel workstreams.
Engineering Manager + Tech Lead + 4-5 senior engineers + senior architecture reviewer
Flex to your procurement reality
Same bench, four ways to engage. Pick what fits your stage, your timeline, and your finance team's comfort zone.
1099 Contract
Startups (Seed–Series C), founder-led teams
Senior engineer dropped in within 7 days, 1099 paper, billed hourly or by sprint. No procurement, no SOW negotiation.
SOW Project
Mid-market, regulated industries, defined deliverables
Scoped Statement of Work with milestones, fixed timeline, weekly status. Engineer embeds with your team for the duration.
Deployment Partner
PE-backed portcos, multi-quarter AI initiatives
Engineer or small bench team embeds for 6+ months, treats your AI roadmap as their full-time mandate. Quarterly reviews.
Retainer Bench Access
Companies with ongoing, unpredictable AI work
Reserved monthly hours across the full bench. You tap whichever specialist you need that month — GenAI one week, MLOps the next.
From scoping call to engineer on your team in 7 days
Scoping Call (15 min)
Tell us what you're trying to ship. We map the problem to the right specialist on the bench and confirm fit before the second call.
Bench Match (48 hours)
You receive a one-page profile on the recommended engineer or team — background, recent projects, hourly rate, availability. For team engagements, a single composition recommendation with tech lead + ICs named. One option, not a stack. You approve or we re-match.
Engineer on the Team (within 7 days)
Standard contract or SOW signed, engineer onboards to your tools, work starts. Weekly check-ins. Kill the engagement in 2 weeks if it's not working — no kill fee.
What the bench has shipped
GPU Cloud Observability
Monitoring stack tracking 600+ time series across 4,000+ GPUs for proactive performance management and cost optimization.
On-Premise LLM Contract Red-Lining
Fine-tuned LLM on 1,000+ historical agreements to accelerate legal review and reduce contract turnaround time.
Quantum-Classical Hybrid ML
Brain cancer MRI imaging pipelines on HIPAA-compliant infrastructure — oncology imaging at production quality.
NIH Grant Categorization
NLP system for automated categorization of the entire NIH research portfolio, powering public reporting at report.nih.gov.
On-demand AI works best for companies that…
- ✓Are funded (Series A–C) and shipping an AI feature or initiative on a quarter-by-quarter timeline
- ✓Can't wait 4–6 months for an FTE search to land, or have already tried and failed
- ✓Need senior judgment, not junior labor — the wrong hire stalls the roadmap
- ✓Want to spin up parallel AI workstreams without growing permanent headcount
- ✓Want to test the work before committing to a permanent headcount
Tell us what you're trying to ship.
15-minute scoping call. We'll either match you to a senior engineer or full embedded team within 48 hours, or tell you straight that we're not the right fit. No high-pressure sales motion, no consulting-firm proposal cycle.
Book a 15-min scoping callOr email AJ directly at ajmarcoz@loomhaven.com