AI engineering team
We understand Tryggai is currently building and validating its MVP in the Mexican market, with a strong focus on AI applied to operational business workflows across industries such as construction, finance, and legal services.
The profiles requested — particularly AI-native Fullstack Engineers, AI DevOps/SRE specialists, data-oriented engineers, and technical leadership roles — align closely with the type of talent NetMidas has helped international startups and product teams build across Latin America.
This initial process is intended as an exploratory alignment stage focused on understanding technical fit, operating compatibility, and potential collaboration structure — without immediate long-term 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.
NetMidas supported the early growth phase of Qash by contributing key technical and operational leadership hires during the company's formative stage.
The engagement included strategic placements that helped strengthen execution capacity as the company scaled its fintech platform and product operations.
Tryggai is also in an early-stage product-building phase where the right technical and leadership hires can shape execution quality, product velocity, and long-term scalability.
NetMidas helped place an AI Product Builder who contributed across AI-native operational products, internal AI workflows, and client-facing AI systems. The work included:
- AI agents
- Workflow automation
- AI orchestration
- Operational tooling
- AI-enabled process optimization
- Cloud-native product development
The engineer later became involved in the development and operational growth surrounding VTKL.ai, supporting the creation of multiple AI-driven systems and production workflows.
Strongly aligned with Tryggai's AGaaS direction — it connects directly with AI agents, business process automation, AI-enabled operations, and startup execution.
Beyond individual placements, NetMidas has supported international companies with long-term nearshore engineering teams across software development, project management, QA, business analysis, and digital systems.
Tryggai is not only looking for individual contributors — it is planning the structure of a technical team. NetMidas can support that process with recruiting, administration, onboarding, and continuity.
| Profile | Mid-Level | Senior |
|---|---|---|
| PM Project Manager | USD 45–55/h | USD 55–65/h |
| FSE Fullstack Software Developer | USD 50–60/h | USD 65–80/h |
| AIDE AI Software Engineer | USD 60–75/h | USD 80–100/h |
| AI DevOps / SRE Reliability & Infrastructure | USD 55–70/h | USD 75–95/h |
| LDSA Lead / Team Lead Software Engineer | USD 65–80/h | USD 90–110/h |
Estimated fully-inclusive hourly rates. Final rates may vary depending on seniority, technical specialization, English proficiency, leadership responsibilities, and project complexity.
NetMidas helps reduce that operational overhead by combining recruiting, onboarding coordination, contractor administration, and ongoing engagement support into a single operating model.
This allows product teams to focus on shipping, iteration speed, technical decisions, and customer validation.
During that conversation, NetMidas can help clarify:
- Which roles should be prioritized first
- Whether Tryggai needs more AI product engineering, infrastructure, or technical leadership support
- Which example profiles are closest to the current need
- Expected timeline and engagement structure
- Whether staff augmentation, contract-to-hire, or a phased team buildout is the best fit
We would be happy to walk through the profiles, discuss the operating model, and help Tryggai define the strongest first-stage technical team structure.