Kaizen Software Systems embeds proven AI, LLM, ML, and MLOps engineers directly into your team. They ship in your codebase, command the tools the market actually runs on, and scale up or down as your roadmap changes.
Trusted by teams at Deloitte, ByteDance, Fox Corporation, Cognizant & Spectrum.
Hiring a senior AI engineer takes months and a market that's bidding against you. AI staff augmentation skips that: you tell us the gap, and we drop a vetted engineer into your team who already knows the stack — working in your repos, your sprints, your standups, from week one.
You keep the roadmap, the IP, and full control of priorities. We supply the expertise and flex the team size as the work changes. It's the fastest honest way to go from "we need AI capability" to shipping it.
Not a wish-list. This is the working loadout our AI engineers bring on day one — the frameworks, models, and platforms the market is actually hiring for.
Pick one engineer or a full pod. Every role below is a senior practitioner you can put in front of real production work.
Builds and ships LLM features — RAG, fine-tuning, prompt and eval pipelines, agentic workflows.
Trains, evaluates, and deploys models — from classic ML to deep learning in production.
Owns the pipeline: CI/CD for models, monitoring, scaling, cost, and reliability.
Builds the data foundation AI runs on — pipelines, warehouses, and real-time streams.
Full-stack engineer who turns AI capability into a product users actually adopt.
Tests non-deterministic systems — trajectory evals, guardrails, and observability.
We don't bench-warm résumés. Our engineers build our own AI products — so the person joining your team has shipped the exact work you're hiring for, not just studied it.
A short call to map the skills, seniority, and stack you need — and how the engineer plugs into your team.
We put forward vetted senior engineers who fit the role. You interview; you choose.
They join your repos, tools, and standups and start shipping inside your workflow.
Add engineers as the roadmap grows, or wind down when the work is done. No long-tail overhead.
AI staff augmentation lets you add vetted AI, LLM, and ML engineers directly to your existing team for as long as you need them. They work inside your codebase, tools, and standups as part of your team — without the cost, delay, and overhead of full-time hiring.
We typically match a senior AI engineer to your needs within 48–72 hours and have them embedded in your team within days — not the months a direct hire takes.
The full modern AI stack: LLMs and Gen AI (GPT, Claude, Llama, Gemini, fine-tuning), RAG and vector search (LangChain, LlamaIndex, Pinecone, pgvector), AI agents (LangGraph, MCP, tool calling), ML and deep learning (PyTorch, TensorFlow, Hugging Face), MLOps and observability (MLflow, LangSmith, Kubernetes), and cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI). The full loadout is in the capability stack above.
Both. We offer onshore, offshore, and blended models so you can balance time-zone overlap, collaboration, and budget. We serve clients across the United States, Canada, Europe, and Australia. See our onshore & offshore developer services.
An agency runs a project at arm's length. With staff augmentation, our engineers join your team and report into your roadmap — you keep full control of direction, IP, and priorities while we supply the AI expertise and scale it up or down as needs change.
Hiring AI engineers directly takes three to six months and competes with every other company for scarce talent. AI staff augmentation gives you the same senior skill set in days — no recruiting cost, no long-term overhead, and the freedom to scale down when the project ends. Kaizen is the partner to call when you need to hire AI engineers fast and keep full control of the work.
Tell us the gap. We'll match a senior AI engineer within 48–72 hours.
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