Leobit
Forward Deployed Engineering Services
Take your AI initiatives to production with senior engineers who work inside your teams. Our forward deployed engineers turn business problems into AI solutions that run on your data and within your systems.
40+
AI projects delivered
~20
Іnternal AI agents in production
35+
Anthropic, Azure & AWS AI-certified engineers
Top Artificial Intelligence Award Winner
Data & AI
ISO 9001:2015
ISO 27001:2022
Silver Stevie Award 2025
Top 1000 Companies 2025
Top .NET Developer 2026
Top Generative AI Company
Global Business Tech Awards
Apps & Software
Digital & App Innovation
Data & AI
Platinum Partner
Artificial Intelligence
.our understanding
WHAT IS A FORWARD
DEPLOYED AI ENGINEER AT LEOBIT?
A forward deployed AI engineer is a senior Leobit engineer who joins your business and engineering teams to take one AI use case into production. The engineer runs discovery sessions with the people who own the process, writes production code in your repositories, and supports the solution until your team takes it over.
Behind each FDE are Leobit’s CTO and Architecture departments and our internal Center of Excellence. Our solution architects review the architecture decisions, and every AI-assisted change passes the review gates of our AI-native SDLC before it reaches your environment.
.what we do
FORWARD DEPLOYED AI ENGINEERING SERVICES WE PROVIDE
AI Agent Development
Agents that complete multi-step tasks, with human-in-the-loop controls
RAG Knowledge Assistants
Answers grounded in your documents, regulations, and internal knowledge
LLM Integration
LLM integration with ERP, CRM, Microsoft 365, databases, and third-party APIs
AI Evaluation
Evaluations, guardrails, and monitoring that keep AI outputs reliable after release
AI-Ready Cloud Infrastructure
AI workloads on Azure, AWS, or Google Cloud, deployed in your environment
AI-Native SDLC
Shared context, review gates, and reusable knowledge that stay with your team
.use cases
WHEN YOU NEED FORWARD DEPLOYED ENGINEERS
We provide
FDEs help most when AI has to work inside your business processes, with your data, your systems, and the people who use them every day.
AI Pilot Scaling
Take a validated proof of concept to production with integrations, security review, and testing on your real data.
Enterprise AI Integration
Bring AI into your ERP, CRM, Microsoft 365, and internal tools while following your access policies.
Business-Driven AI Requirements
Turn the know-how of your legal, finance, or operations teams into clear requirements and measurable success criteria.
AI Team Upskilling
Build your first production AI solution while your engineers gain hands-on experience with agents, RAG, and AI evaluation.
AI for Regulated Data
Deliver AI solutions compliant with GDPR and HIPAA, with human approval at critical steps.
.how we deliver
AI-NATIVE DELIVERY
Every forward deployed engagement runs within our AI-native software development lifecycle. AI supports FDEs in requirements analysis , design, engineering, and testing, while automated quality checks catch issues before changes reach review. Senior engineers stay in control of the architecture, and every production change passes human review.
ENGINEERING
AI-assisted engineering and code generation for day-to-day development.
QUALITY
Automated tests, AI evaluations, code reviews, and CI/CD gates on every change.
TIMELINES
Shorter iteration cycles at every phase, including discovery.
OUR FORWARD DEPLOYED ENGINEERING PROCESS
PHASE 1
Discovery
Our FDEs interview process owners, map the workflow, and audit the data and systems behind it. You receive prioritized AI use cases, a target architecture, and a roadmap with estimates.
PHASE 2
Success criteria
Your stakeholders and our team define what the solution must achieve before the development starts. Each goal gets a business metric and a quality threshold for AI output.
PHASE 3
Proof of concept
A working prototype runs on your real data and goes through review with its future users.It validates the model choice and defines the scope of the production release.
PHASE 4
Production release
The solution is integrated with your systems, passes a security review, and ships through CI/CD gates with automated tests and AI evaluations.
PHASE 5
Scaling
The solution is extended to new workflows , or your team takes it over with documentation, knowledge transfer sessions, and the full project context.
.case studies
EMBEDDED AI ENGINEERING IN PRACTICE
Intelligent Shipping Orchestration Platform
Leobit helped a global logistics enterprise automate its end-to-end shipping operations using AI-driven tools and custom software development. The solution included shipment tracking, automated documentation, intelligent carrier selection, and multi-agent AI systems.
AI-powered SaaS for CNC manufacturers
The platform is a SaaS AI-based quoting app for CNC manufacturers who produce custom parts from metal or plastic using CNC machines. Equipped with a customizable dashboard tailored to each company’s specifics, the platform facilitates handling new requests and generating quotes.
Leobit demonstrates a diligent work ethic and takes full responsibility for the designated aspects of the project.
Chemistry Experiment Management Platform
Leobit helped a global integrated drug discovery organization to build a digital laboratory notebook available as a web and mobile application. The platform is designed for researchers who need a structured way to create, manage, and share experimental data. The first release introduced the core workflows researchers need every day. Users could onboard, create experiments from scratch, or generate them by scanning documents using OCR and NLP. They could edit and organize their work, share experiments, and collaborate with others. After the MVP, the project moved into a Post-MVP phase. The focus shifted to more advanced features, deeper domain logic, and adding automated calculations to support scientific workflows.
.people
MEET THE ENGINEERS BEHIND OUR FORWARD DEPLOYED ENGINEERING
Our architects and R&D leaders set the technical direction of Leobit’s AI work. You can discuss your project with them before it starts.
Yurii Shunkin R&D Director
Leads Leobit’s R&D, including tech expertise development, data management, security, and compliance. Holds a PhD in Applied Mathematics and is a Microsoft Certified Professional.
Vitalii Datsyshyn Solution Architect
Designs scalable, high-performance architectures with AI, .NET, and cloud-native services. Drives Leobit’s R&D and internal excellence initiatives and plays a key role in presales.
Oleksandr Pshenychnyy Solution Architect
Brings nearly 20 years of IT experience to solution design and holds a PhD in Computer Science. Lectures at the Artificial Intelligence Systems Department of Lviv Polytechnic National University.
Ivan Yuzvyshyn Associate Application Architect
Computer vision expert who designs and delivers enterprise software systems, with 10 years of experience and a background as a Lead Software Engineer. Focuses on technical problem-solving and software quality.
.engagement formats
FORWARD DEPLOYED AI ENGINEERING FORMATS
Start with the model that fits the size of your AI initiative and switch to another one as the solution grows.
Forward Deployed Engineer
ONE ENGINEER
Add a senior AI engineer to your team to take one workflow or pilot into production. Leobit’s CTO and Architecture department back every engagement.
Forward Deployed Team
A TEAM
Get a self-managed team with an AI architect, a tech lead, a context engineer, and review engineers. It fits initiatives that span several systems or departments.
From FDE to a dedicated team
AFTER RELEASE
Once the solution is in production, the engagement can grow into a dedicated team that develops and supports it long term. This model is a good fit for product development after the first release.
.why choose Leobit
WHY CHOOSE LEOBIT FOR FORWARD DEPLOYED AI ENGINEERING
- Microsoft Solutions Partner for Digital & App Innovation and Data & AI
- 40+ AI projects delivered across FinTech, InsurTech, PropTech, LegalTech, and other industries
- Global Tech Award winner for AI Excellence
- ISO 9001:2015 and ISO 27001:2022 certified
- 6+ years of AI development for internal needs and client projects
- AI-first organization with a corporate LLM, AI-native software delivery, and internal AI agents embedded in daily operations
- Anthropic Claude Certified Architects and Microsoft Azure AI engineers on the team
- Supports HIPAA, GDPR, and CCPA compliance requirements and follows OWASP security practices
FAQ
We set up an introduction call within 24 hours of your request. Within 3 days, we analyze your requirements and arrange interviews with engineers who have relevant experience. The project kick-off usually takes place within 10 days.
Your code, data, credentials, and intellectual property remain under your control. Source code stays in your repositories, credentials stay in your vaults, and every AI-assisted change is reviewed, approved, and recorded in your Git history.
The cost depends on theengagement format, scope, integrations, and security requirements. We provide a detailed estimate after discovery. For an early budget range, try our software development cost calculator.
Our stack is vendor-agnostic. FDEs work with Anthropic Claude, OpenAI GPT models, Google Gemini, and Azure OpenAI, and use tools such as Claude Code, OpenAI Codex, GitHub Copilot, and Cursor. We work with the models your security and compliance policies allow.
Our AI projects cover FinTech, InsurTech, PropTech, LegalTech, logistics, automotive, manufacturing, and other industries.
