§ B2B HIRING — TALENT PLATFORM rev: 2026.1

Hire Pre-Vetted AI & Software Engineers in 48 Hours

Vetted through live system builds, code reviews, and production commit histories — not resume keywords. Onboard deployment-ready engineering squads without agency recruitment markups.

§ 02 — VETTING CRITERIA & PROCESS

Industrial Vetting Standards

Audited on live pull requests and distributed systems rather than algorithmic puzzles.

Top 3% Technical Screening

Only candidates who successfully pass code architecture evaluations, multi-tier security checks, and code reviews join our roster.

14-Day Risk-Free Trial

Evaluate your engineer in your actual codebase. If they aren’t the right fit, pay nothing during the trial period.

Production-Ready Engineers

Our engineers are fluent in modern stacks: Next.js, Python FastAPI, PostgreSQL, LangChain, PyTorch, and Docker containers.

§ 03 — PRACTICAL EVALUATION METHODOLOGY

How to Evaluate Engineering Talent Beyond Algorithmic LeetCode Puzzles

Traditional technical hiring processes often fail because they test candidates on synthetic puzzle-solving rather than practical software engineering skills. At DBERT Labs, we evaluate candidates against real-world engineering benchmarks:

1. Production Code Review

Candidates submit pull requests against live modular applications. We evaluate error handling, modularity, type hints, and automated test coverage.

2. System Architecture Design

Engineers design scalable REST/GraphQL backend architecture, configure database indexing, and implement JWT/OAuth security patterns.

3. Async Communication & Speed

We test async collaboration skills, Git branch discipline, dynamic debugging speed, and documentation thoroughness.

4. AI & LLM Engineering Competence

For AI engineers, we audit context window management, sliding buffer algorithms, RAG vector embeddings, and fallback resiliency.

§ 04 — TALENT DISCOVERY

Scale Your Engineering Team Today

Tell us about your technical requirements and timeline. Receive curated candidate profiles within 24 hours.

Schedule Talent Discovery Call
§ 05 — FREQUENTLY ASKED QUESTIONS

Candidate Screening & Engagement FAQs

Our screening process goes beyond algorithmic LeetCode puzzles. Candidates are evaluated on actual production commits, system design architecture, clean git histories, and PR code reviews from our active open-source repositories and client builds.

Because our talent pipeline continuously develops and ships code in active DBERT sprints, matched candidates can be interviewed and onboarded into your engineering team within 48 to 72 hours.

We provide pre-vetted engineers across Generative AI Systems (LLMs, RAG, AI Agents), Full Stack Web Development (Next.js, FastAPI, Node.js), Python Automation & Scraping, and Data Analytics (PostgreSQL, Power BI).

Every engineer undergoes behavioral assessment, technical code audit, and security background verification. We provide a 14-day risk-free trial period for all full-time placement engagements.

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