Recruiter Pack
Senior nearshore engineering profiles for AI backend, MCP/OpenAPI gateways, Databricks workflows, Azure integrations, and regulated system modernization.
Recruiter Pack PDF
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Senior profiles in the pack
Indicative of the seniority and stack we place across the AI execution layer — not specific named individuals. Send a role and we respond with screened candidates matched to it.
Typical responsibilities
Designs and builds the secure backend behind AI agents — APIs, queues, persistence, permissions, and execution reliability for production systems.
Core technologies
Ideal client use case
An enterprise moving an AI pilot to production that needs a dependable backend with audit trails and approval flows.
Availability: Typically from ~2–3 weeks
Typical responsibilities
Connects AI workflows to real business systems through typed contracts, validation, retries, and observability — no fragile glue code.
Core technologies
Ideal client use case
A platform team wiring an agent into CRMs, ERPs, internal APIs, and legacy systems with clear contracts.
Availability: Typically from ~2–3 weeks
Typical responsibilities
Implements the secure tool-calling layer — allowlisted tools, schema-validated inputs, tool-level RBAC, approval gates, and audited tool calls.
Core technologies
Ideal client use case
An AI consultancy that has an agent demo and needs a production-grade tool gateway behind it.
Availability: Typically from ~3 weeks
Typical responsibilities
Builds governed data and workflow execution on Azure and Databricks — parameterized jobs, status polling, result normalization, and Delta Lake workflows.
Core technologies
Ideal client use case
A data-heavy organization that wants AI workflows to trigger and read governed Databricks jobs safely.
Availability: Typically from ~3 weeks
Typical responsibilities
Owns infrastructure-as-code, CI/CD, secrets management, environment separation, observability, and OpenTelemetry-ready deployment.
Core technologies
Ideal client use case
A team that needs reproducible, audit-friendly infrastructure for an AI execution layer.
Availability: Typically from ~2–3 weeks
Typical responsibilities
Modernizes institutional and legacy systems into API-first platforms without reckless rewrites — strangler patterns, domain extraction, and preserved business rules.
Core technologies
Ideal client use case
A public-sector or institutional buyer modernizing a finance, HR, or tax-administration system with AI-ready extension points.
Availability: Typically from ~3–4 weeks
What recruiters receive
Everything a DACH staffing partner needs to present Inovativi engineers to an end client with confidence.
