AI-First IT Consulting & Staffing — New Jersey

AI-ready engineers. Zero compliance risk.

AI and machine learning engineers, LLM and agent developers, data and MLOps specialists, plus the cloud, Salesforce Agentforce, and SAP talent that runs the enterprise — U.S.-based, vetted on real production work, matched in 48 hours, every hire E-Verified.

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What we do

AI-first practices, enterprise-grade delivery

The engineers companies are actually hiring in 2026: AI, machine learning, data, and platform specialists — alongside the Salesforce, cloud, and enterprise-systems expertise we are known for, now AI-enabled. Placed compliantly and supported through the whole engagement.

AI & Machine Learning Engineering

Engineers who take models from notebook to production and keep them there.

  • LLM application & generative AI engineering
  • ML engineering, applied science, evaluation
  • Fine-tuning, embeddings, model selection

AI Agents & Automation

Agentic workflows and copilots that do real work inside the business, with guardrails.

  • Tool-using agents and multi-step workflows
  • Retrieval-augmented generation (RAG) systems
  • Evaluation, observability, safety controls

Data Engineering & Analytics

The pipelines, warehouses, and vector stores every AI initiative depends on.

  • Snowflake, Databricks, BigQuery, dbt
  • Streaming and batch pipelines (Spark, Kafka, Airflow)
  • Data quality, governance, and vector search

Cloud, MLOps & AI Infrastructure

AWS, Azure, and GCP engineers for infrastructure that is fast, secure, and cost-controlled — including GPU and inference.

  • MLOps: model serving, monitoring, CI/CD for ML
  • Kubernetes, Terraform, platform engineering
  • SageMaker, Azure AI, Vertex AI, Bedrock

Salesforce & Agentforce

Certified developers and architects who make your CRM an AI-powered revenue engine.

  • Agentforce, Einstein, and Data Cloud
  • Apex, Lightning Web Components, Flow
  • Sales, Service, and Marketing Cloud integrations

Enterprise Systems & AI Integration

SAP specialists and enterprise architects bringing AI into mission-critical processes.

  • SAP S/4HANA, SAP Joule & Business AI
  • Legacy modernization and API integration
  • Full-stack and AI-enabled product engineering

Contract & Contract-to-Hire

Engineers on our W-2 payroll for as long as you need them — with the option to convert them to your team.

  • Hourly or annual bill rates, one clean invoice
  • Conversion fee that decreases the longer they work
  • E-Verify, I-9, payroll, and benefits handled

Direct Hire & Payrolling

Permanent placements on a contingency fee, or payrolling for candidates you have already found.

  • Direct hire: fee on first-year salary, 90-day guarantee
  • Payrolling / employer of record at a flat markup
  • Corp-to-corp vendor partnerships
Why Liberty State

Why leading companies choose us

Hiring a senior AI or ML engineer takes three months on average, and every slipped hire pushes an AI initiative back a quarter. We shortcut that: pre-vetted specialists matched to your stack within 48 hours, employed by us with every compliance obligation handled — E-Verify, I-9, payroll, benefits.

You interview, you approve, they ship. If it isn't working, we make it right.

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  • AI-first technical depth. LLM and agent engineering, ML, data, MLOps, cloud, Salesforce Agentforce, SAP — we vet on shipped work, not a keyword list.
  • Unwavering compliance. E-Verify registered, I-9 complete, proper W-2 employment. Nothing for your legal team to flag.
  • Diversity by design. Woman-owned and minority-owned, building inclusive teams that outperform.
  • True partnership. One dedicated point of contact from first call through project completion.
Why AI-first

The hiring market has split. We staff the half that is growing.

Generic software-development postings are still far below 2020 levels, and the roles that are coming back are senior and AI-titled. Meanwhile AI, machine learning, data, and MLOps roles outnumber qualified candidates roughly three to one, and the average AI hire takes over three months. We built our practices around that gap — and we bring the same compliance-first W-2 model to every AI placement.

Sources: Indeed Hiring Lab, LinkedIn Jobs on the Rise, Gartner, and McKinsey, 2025–2026.

-36%software-dev postings vs. 2020
+143%AI-engineer postings, year over year
3 : 1AI demand to qualified supply
Client story

Three Salesforce engineers, shipping production work for a New York fintech

A fast-growing NYC financial technology company needed Salesforce capacity without the hiring drag. We placed three engineers as fully compliant W-2 consultants — embedded with their team and delivering custom Lightning work and integrations from the first weeks of the engagement. The same model now brings Agentforce, Data Cloud, and AI engineering capacity to teams that need it.

3engineers embedded
Weeksfrom request to delivery
100%compliance handled by us
How it works

From role to running code in three steps

STEP 1

Tell us the role

Share the stack, seniority, and start date — AI/ML, data, cloud, Salesforce, or SAP — in a two-minute form or a quick call.

STEP 2

Interview matched candidates

Profiles vetted on real production work within 48 hours. You interview and approve; no fees until you engage.

STEP 3

We employ, you build

Your consultant starts on our W-2 payroll — or joins yours directly. E-Verify, I-9, and paperwork handled either way.

Tell us the role. Interview AI-ready candidates in 48 hours.

No cost, no commitment — we reply within one business day with matched profiles.

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