
Adlensa
An AI competitor ad intelligence SaaS: a single-channel prototype turned into a launch-ready, multi-tenant product in 10 weeks, with Claude explaining competitors’ messaging and creative.
Explore case: AdlensaWe provide structured engineering capacity — aligned with your roadmap. Pre-vetted senior experts within 48 hours: flexible IT staff augmentation for high-growth companies.
Tech talent
A selection of the engineers available now. Each one has passed multi-stage technical validation, architecture discussions and live coding included.
Access tech talentSenior Software Engineer with 10+ years of experience in backend and full-stack development. Deep expertise in Node.js ecosystems, system architecture design, and leading technical teams.
Results-driven Software Engineer with 5+ years of experience in Full Stack Development and UI/UX Design. Passionate about leveraging modern technologies to enhance user experience and optimize performance.
AI/ML & Fullstack Engineer with 10+ years of experience building backend systems and ML-powered applications. Expert in designing data processing pipelines and integrating ML models into production services.
Senior Project and Product Manager with 10+ years of experience delivering complex software, hardware, and IoT solutions. Proven track record in managing cross-functional teams, budgets, and full product lifecycles for enterprise customers.
Senior Frontend Developer with 11+ years of experience building scalable, high-performance web and mobile applications. Expert in React and TypeScript with a strong focus on performance, usability, and clean architecture.
Senior QA Analyst with 10+ years of experience in software testing and automation for complex B2B systems. Specialized in end-to-end testing across Linux-based systems, cloud platforms, and IoT solutions.
Senior UX/UI Designer with 6+ years of experience designing complex B2B web platforms and enterprise systems. Expert in the full design lifecycle, from research and strategy to scalable design systems.
Senior BI Developer with 10+ years of experience delivering analytical solutions for retail, logistics, and finance. Expert in data modeling, building KPI-driven dashboards, and optimizing BI applications.

Service models
Extend your in-house team with senior engineers fully aligned with your architecture and workflow. Rapid scaling, seamless integration, transparent collaboration and full administrative support.
Build a remote team structured around your product roadmap and velocity goals. Long-term strategic engagement, technical leadership available, KPI-driven performance and an agile delivery model.
Why outstaffing
| Advantage | Direct hiring | Outstaff model |
|---|---|---|
| Accelerated access to pre-validated senior engineers | Sourcing, screening, technical interviews, offer negotiations and onboarding cycles that often extend for months. | Immediate access to engineers who have already passed multi-stage technical validation, aligned with your stack and delivery standards. |
| Performance and risk governance | Performance management, retention risk and replacement processes sit entirely on internal leadership. | Structured evaluation, ongoing quality oversight and controlled replacement: continuity is preserved and delivery timelines stay protected. |
| Cost structure aligned with growth cycles | Fixed payroll obligations, HR complexity and long-term employment commitments. | A scalable monthly structure: capacity expands during product acceleration and optimizes during stabilization. |
Available tech roles
Hiring process
Define your stack, goals, and timeline.
Carefully screened candidates aligned with your needs.
You choose the final engineer.
Immediate integration into your sprint cycles.
HR, payroll, compliance, and performance management handled continuously.
Our work

An AI competitor ad intelligence SaaS: a single-channel prototype turned into a launch-ready, multi-tenant product in 10 weeks, with Claude explaining competitors’ messaging and creative.
Explore case: Adlensa
From fragmented AI experimentation to a shared operating model: a three-month program spanning company-wide assessment, strategy, harmonized governance, an AI-native product lifecycle and practical team enablement.
Explore case: Bringing structure to AI adoption in PropTech
Recovering six years of system knowledge, rebuilding integrations and progressively migrating live traffic.
Explore case: Untangling Retail IntegrationsDefine your stack, goals, and timeline. We present the top 3 candidates within 48 hours.