Your Own Dedicated AI Team,
Deployed in Two Weeks.
Bypass the 6-month hiring slog and burnt runway. We embed fully sovereign, production-hardened senior AI engineering squads directly into your Slack, git repositories, and sprint cycles. Fully managed on our side, fully sovereign in yours.
Interactive Pod Blueprint &
Live Sprint Simulation.
// Select a dedicated squad archetype below to inspect bench roles, tech stack integration, and weekly PR velocity.
Full-Stack AI Product Pod
Turnkey product execution unit designed to deliver generative web & mobile apps from zero to production. Capable of shipping streaming interfaces, semantic cache layers, and scalable inference gateways.
- 1x Principal AI Architect (Tech Lead) Active
- 2x Senior Full-Stack AI Engineers (React / Python) Active
- 1x Senior MLOps & Triton Gateway Engineer Active
- 1x QA & Red-Teaming Evaluation Specialist Active
Why Teams Pick Dedicated Squads
Over Traditional Hiring.
Most technology leaders arrive with the same story: the roadmap is accelerating 10x faster than recruiting, and internal Staff Engineers are drowning in recruitment screens instead of shipping architecture.
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01
4 to 6 Months Recruitment Drag By the time you screen, whiteboard, and onboard an AI engineer, two quarters of market advantage have vaporized.
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02
$35,000+ Recruiter Fees & False Resumes Candidate resumes stuffed with buzzwords who have only made wrapper API calls and buckle under real MLOps incident loads.
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03
15+ Hours / Week Management Drain on Your CTO Your senior engineering leadership is forced to manage junior tickets, organize sprints, and tutor basic AI frameworks.
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04
Rigid Downsizing & Equity Risk If roadmap priorities shift or an LLM architecture pivots, you are locked into massive overhead and severance liabilities.
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01
Deployed & Committing in 14 Days The entire cohesive unit arrives with existing working chemistry. Week one is pure production context, not awkward ramp-up.
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02
100% Pre-Vetted on Production Kernels Engineers with proven track records optimizing multi-node GPU clusters, vLLM kernels, and complex RAG vector graphs.
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03
Zero Management Burden for Leadership A Staff AI Tech Lead runs daily standups, reviews every PR, delivers weekly interactive demos, and guarantees architectural standards.
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04
Elastic Pod Scaling & Complete Sovereignty Scale from a 3-engineer core to 12 specialists as milestones expand. Keep 100% of code, weights, prompts, and training data.
Need a Specialized Squad,
Not a Generalist Pod?
The same bench behind high-throughput enterprise systems can form into tailored squads configured for your exact milestone.
Full-Stack AI Product Squad
End-to-end execution for generative apps. High-speed streaming web interfaces, stateful LLM session routers, and resilient database integration.
Autonomous Agent & Tool-Use Squad
Multi-agent DAG architectures, self-correcting code loops, human-in-the-loop workflows, and autonomous back-office task automation.
Enterprise RAG & Knowledge Fabric
Hybrid semantic search, dense/sparse re-ranking, knowledge graph reasoning, and zero-hallucination verification engines for regulated datasets.
LLM Fine-Tuning & Weights Pod
Domain-specific adaptation of Llama 3.3 and DeepSeek models. Synthetic dataset generation, LoRA/QLoRA, DPO alignment, and model quantizations.
Real-Time Voice & Telecom PBX Unit
Ultra-low latency speech-to-speech agents with <200ms round-trip responses. WebRTC audio piping, turn detection, and SIP telephony trunking.
Don't see your exact stack?
We configure bespoke squads mapped to your exact PRD, repo constraints, and specialized hardware targets in 48 hours.
Engineers who already speak
your entire architecture.
No onboarding lag. Our squads plug into the exact models, frameworks, and vector systems in your production pipeline.
How We Keep Every Single
Seat Senior (1.2% Pass Rate).
// No algorithmic leetcode tricks. Every engineer on our bench has survived real-world incident simulations and production kernel tuning.
Real-World Broken Production Kernel Test
No textbook algorithmic puzzles. Candidates receive broken production repos: a hallucinating RAG retrieval flow with memory leaks, an unstable tool-calling loop, or a choked Triton GPU endpoint. We observe their diagnostic velocity, git commit clarity, and remediation under pressure.
Distributed Architecture & Latency Whiteboard
Live interactive architecture defense. We simulate a sudden 100x query burst on a cluster, evaluate KV cache eviction strategies, speculative decoding trade-offs, and multi-tenant vector partitioning.
Deep-Dive With Principal Staff Architects
A 90-minute technical interrogation conducted solely by active Principal Engineers. We evaluate prompt injection defensibility, synthetic dataset contamination risks, and multi-agent cyclic deadlocks.
Paid 2-Week Trial on Active Internal Systems
Before ever stepping foot inside a client’s codebase, the final candidate executes real tickets on KodeWolfez internal tooling. We verify autonomous standup communication, PR review etiquette, and documentation rigor.
Which Model Fits
Your Engineering Horizon?
All models guarantee 100% IP ownership, transparent monthly billing, and zero permanent equity or placement overhead.
AI Staff Augmentation
Need one or two senior specialists rather than a whole squad? Our engineers join your standups, work your hours, and follow your lead engineer's processes.
Full Dedicated AI Pod
A cross-functional unit of vetted senior engineers led by an autonomous Staff Tech Lead. Sized to your roadmap and reshaped as milestones evolve.
Fixed-Scope AI Build
Have an exact PRD with clear boundaries? We scope it end-to-end, fix the price and delivery timeline, and ship against concrete milestones.
Engineered by practitioners,
not outsourcing agencies.
We are an engineering-first AI consultancy working with venture-backed series A-to-IPO scaleups and enterprises across North America and Europe. The same leaders who architect our frontier agent workflows oversee your pod allocation.
"We spent 4 months searching for a Lead MLOps Engineer to build our low-latency RAG infrastructure. KodeWolfez spun up a complete 4-person senior pod in 11 days. Within sprint two, our latency dropped 68% and we shipped to enterprise beta 6 weeks ahead of schedule."
Questions Worth
Answering Upfront.
How quickly can a dedicated squad actually start pushing code? +
Our typical deployment window is 10 to 14 business days. Because our bench consists of pre-vetted, full-time senior engineers—not freelance contractors we scramble to find on Upwork—we only need your repo access, Slack invitation, and initial PRD kickoff.
Do the engineers work within our timezone and our repositories? +
Yes, 100%. Our teams overlap with US (Eastern and Pacific) as well as European working hours. Every single commit, branch, and pull request is executed directly inside your GitHub, GitLab, or AWS CodeCommit repositories under your developer credentials.
Who owns the fine-tuned model weights, prompts, and IP? +
You own everything unconditionally. Every line of code, custom fine-tuned LoRA checkpoint, prompt orchestration workflow, and synthetic training dataset is your exclusive work-for-hire intellectual property. We sign comprehensive IP assignment agreements prior to day one.
What happens if someone on the pod isn't the right fit? +
We enforce a frictionless 14-day replacement SLA. If any engineer does not meet your cultural, velocity, or technical standards, notify us and our bench management team replaces that seat with another pre-vetted senior within 5 business days at no onboarding fee.
Can we scale the pod up or down as roadmap milestones shift? +
Yes. Dedicated pods operate with elastic month-to-month flexibility after an initial sprint milestone. If you need to double down on MLOps for an upcoming launch, we add specialists. When the deliverable transitions to maintenance, we downsize seamlessly without severance friction.
Assemble Your Dedicated Pod
Receive a tailored squad composition, monthly fixed investment, and CVs of pre-vetted senior engineers within 48 hours.
Ready to engineer
what's next in AI?
Skip the recruiter pitch decks and technical interview roulette. Book your squad architecture review and review matching staff bios within 48 hours.