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About Contact Us
AI-first engineering

Hire AI Software Engineers.

Logiciel provides senior AI software engineers who build and ship real-world AI systems from LLM applications and RAG pipelines to automation, ML workflows, and AI-powered SaaS features. Scale your AI roadmap with engineers who deliver measurable outcomes from day one.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

4 models
AI engineering engagement models
8 areas
What you can hire AI engineers for
1-2 weeks
Rapid engineer onboarding
01

AI engineering is not traditional software development. Companies fail when AI is built by general developers, leading to:

02

AI systems require applied ML + software engineering + DevOps + data engineering. That’s exactly what Logiciel’s AI engineers bring.

03

Specialized AI Engineers

Why Logiciel

Why You Need Specialized AI Engineers.

Why Logiciel · 01

Unreliable AI outputs and hallucinations

Why Logiciel · 02

Slow experimentation with no production readiness

Why Logiciel · 03

Poor model performance and wrong architecture choices

Why Logiciel · 04

Exploding GPU and cloud costs

Why Logiciel · 05

Missing MLOps, monitoring, and security guardrails

Why Logiciel · 06

AI features that don’t align with product value

What sets us apart

What Makes Logiciel’s AI Engineers Different.

LLMs (GPT, Claude, Llama, Mistral)Embeddings, vector databases & RAG pipelinesPrompt engineering & agentic workflowsAI automation & SaaS integrationReal-time inference & GPU optimizationMLOps, monitoring & model safetyCloud-native AI architectures
Overview

What You Can Hire AI Engineers For.

We help teams accelerate AI delivery across:

LLM Applications

Copilots, chatbots, search, summarization

RAG Systems

High-accuracy, low-hallucination AI pipelines

Agentic AI

Autonomous workflows & decision systems

AI for SaaS Products

Embedded AI features inside platforms

AI Automation

Ops, sales, support & workflow optimization

ML & Predictive Systems

Recommendations, forecasting, detection

MLOps & Deployment

CI/CD, monitoring, scaling & rollback

Data Engineering for AI

Pipelines, feature stores & ETL

What You Can Hire

Engagement

Engagement Models.

01

Dedicated AI Engineers

full-time, embedded in your team

Engagement
02

Project-Based Delivery

fixed-scope, outcome-driven

Engagement
03

AI Engineering Pods

AI + ML + MLOps + backend

Engagement
04

AI Consulting & Architecture

validate and design AI systems

Engagement
Why Logiciel

Why Logiciel.

01

AI-first, production-focused engineering culture

↳ Why Logiciel
02

Proven experience across SaaS, enterprise & automation platforms

↳ Why Logiciel
03

Deep expertise in AI + Cloud + DevOps + Data

↳ Why Logiciel
04

Rapid onboarding (1–2 weeks)

↳ Why Logiciel
05

Strong focus on security, reliability & cost control

↳ Why Logiciel
06

Engineers who understand product impact, not just models

↳ Why Logiciel
Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

How fast can an AI engineer start?

As fast as 1–2 weeks.

Do you support both ML and LLM projects?

Yes, end-to-end expertise.

Can AI engineers handle DevOps, cloud, and MLOps?

Yes, our engineers are cross-functional and production-oriented.

Do you provide long-term dedicated AI talent?

Yes, teams stay embedded for months or years.

Can you integrate AI into our existing product?

Absolutely, most clients hire us for this.

Let's build

Hire Senior AI Engineers Who Deliver Real AI Outcomes.

Get matched with experienced AI engineers who can design, build, and scale production-grade AI systems.