- How are Python/AI engineers vetted?
- Four gates: (1) 60-minute technical screen on Python internals (typing, async, packaging, memory model), plus one AI/ML topic chosen from RAG evaluation, fine-tuning tradeoffs, or agent-loop design; (2) live coding round on a real data-transformation or LLM-orchestration problem; (3) system-design round on a production ML/AI system (evaluation harness, cost controls, hallucination handling, retrieval architecture); (4) two reference calls from engineering managers in the last 24 months. Under 8% clear all four.
- Do you offer contract-to-hire?
- Yes. Three-month embedded contract, then a fixed 20%-of-annualized-base conversion fee if the engineer accepts a full-time offer inside 12 months. No conversion fee after month twelve. Engineers are never restricted from taking direct offers — the fee reflects sourcing and vetting cost.
- What's the rate structure?
- Senior Python/AI engineers: $155–$205/hr. Staff/principal ML engineers: $195–$245/hr. Applied AI research profiles (published, prior FAANG or top-lab experience) run higher on request. Monthly retainers available at 10–15% discount for 6+ month commitments. All-in rates — no recruiting fee, no benefits markup, no cloud-cost pass-throughs.
- Are engineers actually onshore?
- Yes. Every engineer is US-based, in Eastern or Central time, and W-2 with NextGen or a long-term US contractor with signed NDA and IP assignment. City of residence is disclosed per candidate — most are NYC, Boston, Bay Area transplants, or Research Triangle. No offshore subcontracting, no pool rotation. Written into the engagement contract.
- What seniority level should we expect?
- The typical placed engineer has 6–10 years of production Python and 2–5 years of applied AI/ML work — RAG systems in production, fine-tuning pipelines, evaluation harnesses, or agent frameworks shipped against real user load. Common prior contexts: quantitative research, fintech data platforms, healthcare ML, legal AI, or B2B AI SaaS. Junior profiles available on request but rarely the right fit for compliance-adjacent work.