engineering capacity across LATAM
This proposal is designed to explore a strategic partnership structure focused on expanding AI, machine learning, cloud, and data engineering capacity through a curated LATAM talent network.
The objective is not simply candidate sourcing, but the creation of a scalable operational model capable of supporting evolving technical demands across AI-native product environments, cloud infrastructure initiatives, data engineering workflows, analytics systems, and distributed software teams.
This initial process is intended as an exploratory alignment stage focused on understanding technical fit, operating compatibility, and long-term collaboration structure — without immediate commitment required.
To activate sourcing and screening, NetMidas works with a USD $2,000 upfront kickoff payment per role. This payment helps allocate sourcing, screening, outreach, and recruiting operations toward the search process from day one.
✓ Fully credited toward the first month of the engagement once a candidate starts.
This structure helps keep the process focused, serious, and properly resourced while allowing both sides to explore fit and collaboration structure before scaling further.
USA TODAY needed engineers capable of transforming large, messy datasets into publishable journalism fast enough to matter operationally.
NetMidas placed four specialists across data science, data engineering, and visualization directly inside the newsroom environment. The team supported 12 nationally published data pieces within one year covering elections, climate change, and the opioid crisis.
Demonstrates operational data engineering, analytics execution, and the ability to support high-visibility production environments under real publishing timelines.
Backbase required senior bilingual engineers with fintech and distributed systems experience in a market where that combination is exceptionally difficult to find.
NetMidas successfully passed rigorous security vetting and placed seven engineers supporting digital banking initiatives. Retention remained above 99% across 2.5 years.
Demonstrates strong recruiting precision, fintech readiness, distributed systems expertise, bilingual collaboration capability, and long-term operational continuity.
FuelTalent needed a trusted partner capable of sourcing senior cybersecurity specialists for a major US regional bank operating in a high-trust environment.
NetMidas placed six specialists in an average of three weeks. Average contract duration exceeded three years. When the end client changed ownership, every contract was extended by the incoming leadership team.
Strong alignment with strategic partnership structures, operational trust, continuity, and long-term relationship management.
| Role | Mid-Level | Senior |
|---|---|---|
| AI Engineer LLM systems · agents · RAG | USD 65–78/h$10,400–$12,480/mo | USD 80–95/h$12,800–$15,200/mo |
| ML Engineer Production ML · MLOps · forecasting | USD 68–80/h$10,880–$12,800/mo | USD 82–95/h$13,120–$15,200/mo |
| Cloud Engineer Multi-cloud · DevOps · infrastructure | USD 60–72/h$9,600–$11,520/mo | USD 75–85/h$12,000–$13,600/mo |
| Data Engineer ETL · data mesh · analytics infra | USD 58–70/h$9,280–$11,200/mo | USD 72–82/h$11,520–$13,120/mo |
| Data Scientist ML · analytics · production models | USD 55–65/h$8,800–$10,400/mo | USD 68–78/h$10,880–$12,480/mo |
Estimated fully-inclusive rates including contractor compensation, operational support, recruiting services, and administrative coordination.
Final rates may vary depending on specialization, seniority, cloud expertise, AI systems exposure, leadership responsibilities, production experience, and specific project requirements.
NetMidas prioritizes continuity and long-term operational stability over short-term placement velocity.
The operational model includes ongoing contractor follow-ups, continuity-oriented communication, compensation review awareness, relationship management, and proactive retention support.
This philosophy has historically supported long-term engagement stability across startup, fintech, cloud, and enterprise environments.
One operational pattern that consistently improves distributed team performance is the use of "bridge" profiles — senior bilingual engineers or technical leads capable of connecting client stakeholders with broader engineering squads across LATAM.
These profiles often improve communication velocity, operational clarity, onboarding efficiency, engineering alignment, and delivery continuity.
The conversation can cover:
- Role prioritization
- Catalog expansion strategy
- Target engineering verticals
- AI / ML / cloud focus areas
- Engagement structures
- Sourcing priorities
- Operational expectations
- Continuity planning
From there, NetMidas can begin building a more tailored sourcing roadmap aligned with the partnership model discussed throughout this proposal.