Cloud-native foundation, AI-native future

The engineering rigor of cloud.
The velocity of AI.

I'm looking for

Cloud engineers, AWS architects and hard-to-find AI specialists — vetted on real production work, shortlisted in days, and ready to embed on contract, contract-to-hire or direct hire.

AWS & cloud engineers
ML, NLP & prompt engineers
Contract, direct hire & project teams

Hire AI Talent Hire IT Talent

◆ ENTERPRISE CLOUD AI-NATIVE ◆

Trusted by

Built on

AWSMicroservicesKubernetesCI/CDObservabilityLLMs & RAGAI agentsMLOps

Ways to engage

ContractContract-to-hireDirect hireProject teams

§01 — Our evolution

Built on infrastructure. Ready for intelligence.

Most AI initiatives fail not because the model is wrong, but because the infrastructure around it isn't ready. Our foundation in rigorous cloud architecture and microservices is exactly what makes us the partner who can take AI from prototype to production.

Foundation — 2011–2020

Cloud & AWS architecture

Two decades of designing resilient, secure, and scalable cloud infrastructure for enterprise workloads.

Maturity — 2020–2023

Microservices & distributed systems

Rigorous engineering discipline building fault-tolerant, production-grade distributed systems at scale.

Now — 2024→

AI & intelligent systems

Applying the same production discipline to deploy LLMs, agents, and ML pipelines that hold up in enterprise environments.

§02 — Core services

One partner. Full-spectrum expertise.

SVC.01 / CONSULTING

AI & Machine Learning Consulting

Strategic guidance and hands-on delivery to turn AI ambition into production reality.

AI strategy & readiness assessments
LLM integration & RAG architecture
MLOps pipelines & model lifecycle

Learn more

SVC.02 / STAFFING

Enterprise IT Staffing

Top-tier engineering talent, vetted for real-world production readiness.

Cloud engineers & AWS solutions architects
Full-stack & backend developers
DevOps, SRE & platform engineers

Learn more

SVC.03 / AI STAFFING

AI-Enabled Staffing

Sourcing the rare, high-demand talent that powers modern AI programs.

Prompt engineers & AI application developers
Data scientists & ML engineers
NLP specialists & LLMOps engineers

Learn more

§03 — How we hire

Hiring shouldn't feel like guesswork.

You don't need a stack of résumés. You need the right engineer for this stack, this team and this deadline. We start from the problem, then bring you a short, vetted slate.

MODEL.01 / CONTRACT

Contract staffing

Flexible capacity for migrations, launches and skill gaps, without long-term overhead.

MODEL.02 / DIRECT HIRE

Direct hire

Permanent placements for roles that carry long-term architecture and ownership.

MODEL.03 / PROJECT TEAMS

Project-based teams

Dedicated pods built around a defined outcome and managed for delivery.

01
Scope the real need
Architecture, timeline and team dynamics — not just a job description.
02
Source from vetted talent
Pre-screened engineers matched to your stack, including hard-to-find AI roles.
03
Shortlist, don't flood
A small slate worth interviewing, each with a technical summary.
04
Stay engaged
Check-ins after start to catch friction early and protect the outcome.

Enterprise IT staffing AI-enabled staffing

§04 — Representative engagements

What the work looks like.

The kinds of problems teams bring us in to solve.

CLOUD / MODERNIZATION

Monolith to microservices on AWS

A legacy application slows every release and can’t scale with demand.

Service boundaries and a staged migration plan
Containerized services with CI/CD pipelines
Observability and rollback from day one

AI / KNOWLEDGE SEARCH

Internal search powered by LLMs

Answers are buried across documents, wikis and tickets.

Retrieval-augmented generation over your own data
Access controls and an evaluation harness
Monitoring for answer quality and cost

STAFFING / PLATFORM TEAM

A platform team for a cloud migration

A hard migration deadline and no in-house capacity.

Scoped roles: architect, SREs, platform engineers
A vetted shortlist for every role
Onboarding and check-ins after start

§05 — Why Triaxid

Enterprise trust. AI-grade talent.

Companies choose Triaxid because we don't chase AI hype — we engineer AI outcomes with the same discipline that's made us a trusted enterprise cloud partner for over a decade.

Every candidate completes live coding, system design and domain review before they reach you.

Technical rigor

Every engagement is grounded in production-grade engineering standards, not proof-of-concept shortcuts.
Strict vetting process

Multi-stage screening — live coding, system design, domain depth — before any candidate reaches you.
Seamless integration

We embed AI into your existing enterprise workflows and legacy systems, not replace them wholesale.
Outcome-driven delivery

Clear success metrics from day one, whether we're staffing a team or deploying AI end-to-end.

Ready to bridge cloud and AI?

Tell us what you're building. We'll bring the engineers, the architecture, and the AI expertise to get it into production.

Talk to our team View services

← Back to Triaxid

SERVICES / AI & MACHINE LEARNING CONSULTING

Strategy, integration, and MLOps for production-grade AI.

We help enterprises move past pilots and demos. From readiness assessments to LLM integration to the MLOps discipline that keeps models reliable in production, our consultants bring the same engineering rigor we've applied to cloud architecture for over a decade.

Talk to an AI consultant View all services

What we deliver

Full-lifecycle AI capability, not just advice.

Each engagement is scoped to a concrete deliverable — not an open-ended retainer.

AI Strategy & Readiness Assessment

Evaluate data maturity, infrastructure, and organizational readiness before committing budget to an AI initiative.

LLM Integration & RAG Architecture

Design retrieval-augmented generation pipelines, vector stores, and prompt orchestration layers that connect large language models to your proprietary data.

MLOps & Model Lifecycle Management

Build CI/CD pipelines for models, including versioning, monitoring, drift detection, and automated retraining.

Custom Model Fine-Tuning

Adapt foundation models to domain-specific tasks using fine-tuning, adapters, and evaluation harnesses.

AI Governance & Risk Assessment

Establish guardrails for data privacy, bias testing, and responsible-AI compliance before deployment.

Proof-of-Concept to Production Scaling

Take validated pilots and re-architect them for reliability, cost efficiency, and enterprise-scale traffic.

Our approach

A disciplined path from idea to production.

01
Discovery & readiness assessment
We audit your data infrastructure, existing systems, and business goals to identify where AI creates the most value.
02
Solution architecture
Our architects design the technical approach: model selection, data pipelines, integration points, and security boundaries.
03
Pilot & validation
We build a scoped proof of concept and validate it against real data and real success metrics, not synthetic benchmarks.
04
Production deployment
Validated pilots are re-engineered for production: observability, failover, cost controls, and integration with existing systems.
05
Ongoing optimization
We monitor model performance, retrain as data drifts, and continuously tune cost and accuracy trade-offs.

Where it applies

Common use cases across industries.

Financial services

Fraud detection and document automation.

Healthcare

Clinical documentation and intake automation.

Retail & e-commerce

Personalization and demand forecasting.

Manufacturing

Predictive maintenance and quality inspection.

Customer support

Intelligent routing and AI-assisted resolution.

Legal & compliance

Contract review and policy search.

Ready to talk about your AI roadmap?

Tell us about your data, your systems, and your goals — we'll tell you honestly whether AI is the right investment right now.

Talk to our team View other services

← Back to Triaxid

SERVICES / ENTERPRISE IT STAFFING

Vetted cloud and infrastructure engineers, ready to embed.

Whether you need one senior AWS architect or a full delivery pod, we source engineers who've already solved the problems you're facing — vetted for real production experience, not just resume keywords.

Hire IT talent View all services

Roles we place

The engineers your infrastructure actually needs.

Every candidate is matched against your specific stack, not a generic job title.

Cloud Engineers & AWS Solutions Architects

Design and operate multi-account AWS environments, landing zones, and cost-optimized infrastructure.

Backend & Full-Stack Developers

Build and maintain services in the languages and frameworks your stack already runs on.

DevOps, SRE & Platform Engineers

Own CI/CD, observability, and reliability for systems running at enterprise scale.

Database & Data Engineers

Design schemas, pipelines, and warehouses that keep pace with growing data volume.

Security & Compliance Engineers

Harden infrastructure and support audits for SOC 2, HIPAA, and other frameworks.

Technical Project & Program Managers

Coordinate delivery across distributed engineering teams and stakeholders.

How engagements work

From scoped need to embedded engineer.

01
Scope the need
We start with your architecture, timeline, and team gaps, not a generic job description.
02
Shortlist in days
Candidates arrive pre-vetted against your specific stack, typically within 3–5 business days.
03
Flexible engagement
Contract, contract-to-hire, direct placement, or a fully managed delivery pod — you choose the model.
04
Ongoing support
We stay involved after placement with regular check-ins to catch friction early.

Where it applies

Common reasons teams bring us in.

Scaling startups

Needing senior cloud expertise fast.

Enterprises modernizing

Replacing legacy infrastructure piece by piece.

Regulated industries

Needing compliance-aware engineers.

Backfilling roles

Covering specialized gaps during a transition.

Platform teams

Building out an internal platform engineering function.

Surge capacity

Short-term support for a major migration.

Need engineers who already know AWS cold?

Tell us the stack, the timeline, and the gap — we'll bring you candidates who've done this before.

Talk to our team View other services

← Back to Triaxid

SERVICES / AI-ENABLED STAFFING

Specialized AI talent that's genuinely hard to find.

Prompt engineers, ML engineers, and NLP specialists are in short supply and even shorter on production experience. We source and vet candidates against real AI engineering problems, not trivia.

Hire AI talent View all services

Roles we place

The specialists behind real AI systems.

Every candidate is evaluated on shipped work, not certifications alone.

Prompt Engineers & AI Application Developers

Build and tune the prompts, chains, and agent workflows that sit on top of foundation models.

Machine Learning Engineers

Design, train, and deploy models, from classical ML to deep learning systems.

Data Scientists

Turn raw data into the features, experiments, and insights that inform model and product decisions.

NLP Specialists

Build systems for text classification, entity extraction, summarization, and conversational AI.

LLMOps Engineers

Operate the infrastructure that serves, monitors, and scales large language models in production.

Computer Vision Engineers

Develop models for image and video understanding, from detection to generative vision tasks.

Our vetting process

Screened against real problems, not trivia.

01
Technical screening
Resume and portfolio review focused on shipped AI systems, not just coursework or certifications.
02
Applied assessment
Candidates work through a real, scoped AI problem, not an abstract whiteboard exercise.
03
Architecture & judgment review
We evaluate how candidates reason about trade-offs — latency vs. accuracy, cost vs. capability.
04
Client fit & onboarding
We match on technical depth and communication style, then support the first weeks of ramp-up.

Where it applies

Common reasons teams bring us in.

Product teams

Adding generative AI features to existing products.

Data teams

Professionalizing an existing ML practice.

Internal AI platforms

Standing up shared infrastructure for AI teams.

Search & support

Needing NLP for search relevance or ticket triage.

First AI hires

Organizations without in-house AI hiring expertise.

Defined initiatives

Short-term specialist support for a scoped AI project.

Building an AI team from scratch?

Tell us the roles and the problem you're solving — we'll bring you specialists who've actually shipped this kind of work.

Talk to our team View other services

Built on infrastructure. Ready for intelligence.

Cloud & AWS architecture

Microservices & distributed systems

AI & intelligent systems

One partner. Full-spectrum expertise.

AI & Machine Learning Consulting

Enterprise IT Staffing

AI-Enabled Staffing

Hiring shouldn't feel like guesswork.

Contract staffing

Direct hire

Project-based teams

Scope the real need

Source from vetted talent

Shortlist, don't flood

Stay engaged

What the work looks like.

Monolith to microservices on AWS

Internal search powered by LLMs

A platform team for a cloud migration

Enterprise trust. AI-grade talent.

Technical rigor

Strict vetting process

Seamless integration

Outcome-driven delivery

Ready to bridge cloud and AI?

Full-lifecycle AI capability, not just advice.

AI Strategy & Readiness Assessment

LLM Integration & RAG Architecture

MLOps & Model Lifecycle Management

Custom Model Fine-Tuning

AI Governance & Risk Assessment

Proof-of-Concept to Production Scaling

A disciplined path from idea to production.

Discovery & readiness assessment

Solution architecture

Pilot & validation

Production deployment

Ongoing optimization

Common use cases across industries.

Financial services

Healthcare

Retail & e-commerce

Manufacturing

Customer support

Legal & compliance

Ready to talk about your AI roadmap?

The engineers your infrastructure actually needs.

Cloud Engineers & AWS Solutions Architects

Backend & Full-Stack Developers

DevOps, SRE & Platform Engineers

Database & Data Engineers

Security & Compliance Engineers

Technical Project & Program Managers

From scoped need to embedded engineer.

Scope the need

Shortlist in days

Flexible engagement

Ongoing support

Common reasons teams bring us in.

Scaling startups

Enterprises modernizing

Regulated industries

Backfilling roles

Platform teams

Surge capacity

Need engineers who already know AWS cold?

The specialists behind real AI systems.

Prompt Engineers & AI Application Developers

Machine Learning Engineers

Data Scientists

NLP Specialists

LLMOps Engineers

Computer Vision Engineers

Screened against real problems, not trivia.

Technical screening

Applied assessment

Architecture & judgment review

Client fit & onboarding

Common reasons teams bring us in.