Skip to main content
Download free report
SoftBlues
Curated AI Talent Network

Hire Top AI & ML Experts

Access our curated network of senior AI engineers, each vetted through real-world project delivery. From LLM agents to computer vision - find the right expertise for your team.

15+
Years in Tech Recruitment
800+
Talents Hired
95%
Client Satisfaction

Trusted by leading tech companies

Toptal
Flowers
Cloudflight
Neoris
Smile
NovaFori
Hays
YouTeam
Etengo
Idego

Featured Projects

Real-world AI implementations delivered by our expert network

2024–2025Yurii K.

AI-Powered First-Line Support Agent (RAG)

AI Engineer

The project involved developing an intelligent automation system to handle Tier-1 customer inquiries for a microsite building platform. By leveraging advanced Retrieval-Augmented Generation (RAG), the system analyzes a knowledge base of over 280 articles to provide instant and accurate responses. The solution was designed to solve scalability challenges by automating repetitive, low-complexity questions that previously overwhelmed the human support team.

LangChainPostgreSQLDockerPythonGemini+4
View Details
2025Oleksandr N.

AI Agents Management & Orchestration Control Plane

AI Engineer

Developed a centralized, production-grade management platform (Control Plane) for the lifecycle management of specialized AI agents. The system provides a unified web interface for defining agent personas, deploying them across diverse environments, and monitoring their performance and token consumption in real-time.

LangChainLangGraphFastAPINode.jsLightLLM+4
View Details
2025Oleksandr N.

AI-Powered Multi-Modal City Guide

AI Lead Engineer

Architected and launched a mobile-first, multi-modal AI travel companion that generates dynamic, location-aware storytelling. The platform utilizes generative AI to create historical narratives for points of interest, translates content in real-time, and synthesizes high-quality audio guides for a hands-free user experience.

OpenAIAWSRDSEC2SQS+3
View Details
2024-2025Yurii K.

Multi-Agent Personal Assistant & Time Organizer

AI Engineer

The project involved building a sophisticated personal productivity automation system based on a Multi-Agent Architecture to streamline tasks and professional collaboration. The system integrates with Google Workspace, Jira, Zoom, and Confluence to provide unified task management, automated scheduling, and intelligent email triage. By using a Supervisor Agent to orchestrate specialized sub-agents, the platform autonomously handles complex workflows like research and meeting coordination while maintaining human-in-the-loop security.

LangChainLangGraphPythonGeminiFastAPI+5
View Details
2025Yurii K.

AI-Powered Creative Automation System

Lead AI Engineer / Architect

Creative teams lose days on manual marketing asset production, with inconsistent brand use, multi-platform resizing, and weak product-identity control. The system automates the pipeline from brief to delivery: it uses Computer Vision for design analysis, automated prompt engineering, fine-tuned generative models, smart one-to-many resizing (Saliency Maps), and ControlNet for product fidelity, with automated brand and compliance checks—cutting production from days to minutes while keeping full brand consistency.

PythonPyTorchStable DiffusionControlNetOpenCV+5
View Details
2024Mykhailo Z.

Interrogation Transcription System for Law Enforcement

Voice AI Engineer

Automated real-time transcription of interviews to generate official protocols in a secure environment. On-premise (air-gapped) deployment ensuring maximum security and data privacy. Core Model: Python, OpenAI Whisper, Pyannote, Docker, on-premise deployment Orchestration: Custom system for real-time processing (voice detection + chunking + transcription). Supports up to 10 simultaneous sessions. Fine-tuning Pipeline: Created a pipeline for periodic model updates using client-provided datasets (edited transcripts). Focused on adapting to (local dialect) and low-quality audio. Metrics: Used WER (Word Error Rate) and CER (Character Error Rate) to validate model performance. Deployment: On-premise (Air-gapped). All components are deployed locally to ensure maximum security and data privacy.

PythonOpenAIWhisperPyannoteDocker
View Details
2025Mykhailo Z.

Financial Voice Agent for Call Center

Voice AI Engineer

Voice agent integration for a financial services company with a focus on mobile stability. Focus: Integrated AI agents with telephony infrastructure. Solved architectural challenges regarding vendor integrations. Performance: Focused on maintaining high communication quality over mobile networks.

PythonAsterisk PBXOpenAIOpenAI APIWebSocket+2
View Details
2023-2024Mykhailo Z.

RAG for Medical equipment marketplace

AI Engineer

Knowledge base system for medical device documentation with semantic search capabilities. Pipeline: Web scraping of manufacturer manuals for specified medical devices → chunking → indexing with metadata → storage in vector database. Core Functionality: On query, retrieves relevant documentation and specifications for a given medical device.

Ray.ioChromaDBLlamaLangChain
View Details
2022-2025Oleksandr S.

Deepfake Voice Detection System

AI Solutions Architect

Telecom providers and financial institutions needed a solution to detect synthetic speech and protect against voice fraud in call centers. We built a real-time deepfake detection system for streaming audio using speaker recognition, diarization, ASR, Deep Fake detector model.

View Details
2021 - 2022Oleksandr S.

Fruit Counting System for Agricultural Robotics

Computer Vision Engineer

Farmers and agri-tech companies required automated fruit yield estimation to plan harvest and optimize logistics. Designed a robotic vision system to count oranges on trees using 3D cameras, depth sensors, and GPS.

View Details

How It Works

From first contact to a productive AI expert on your team, in days not months

01

Share Your Needs

Tell us about your project, tech stack, and the expertise you require.

02

Get Matched

We hand-pick experts from our network that match your specific requirements.

03

Interview & Select

Meet your shortlisted candidates. You choose who joins your team.

04

Start Building

Your expert integrates with your team and starts delivering from day one.

Why Choose Our Experts

Vetted Through Delivery

Every expert has been validated through real project delivery, not just interviews. We only work with engineers who have proven their skills in production.

Fast Time-to-Productivity

Our experts are experienced in joining existing teams and becoming productive quickly. No long onboarding periods or hand-holding required.

Flexible Engagement

Whether you need a single specialist or an entire AI team, we adapt to your requirements. Scale up or down as your project evolves.

Ready to Build Your AI Team?

Get matched with the right AI experts for your project. Book a free discovery call to discuss your requirements.

We respond within 24 hours.