Hire the right engineering role

A frontend developer builds the user-facing layer of web applications — crafting responsive interfaces, managing client-side state, optimizing performance, and ensuring accessibility. They are the engineers who turn Figma files into fast, production-grade UIs, and who understand the difference between a component that looks right and one that performs correctly at scale. Frontend developers placed by NeuronHire from Latin America are vetted on React 18+, TypeScript, Next.js, and modern CSS systems — at 30–50% below US rates with full timezone alignment.

A backend developer designs and maintains the server-side systems that power your product — APIs, databases, authentication, business logic, and integrations with third-party services. They are the engineers who determine whether your system scales or breaks under load, whether your data stays consistent under concurrency, and whether your integrations handle edge cases correctly. NeuronHire places backend developers from Latin America vetted on production API design, database modeling, and cloud deployment across Node.js, Python, Java, and Go — at 30–50% below US rates with full timezone alignment.

A full-stack developer owns both the frontend and backend of a product — from UI components and state management to APIs, databases, and deployment pipelines. That ownership matters most when you need features shipped end-to-end without the handoff tax between two specialists. NeuronHire vets full-stack candidates on both sides of the stack — React, TypeScript, Node.js, Python, and databases — and places them with US teams in an average of 7 days, at 30–50% below US rates.

A mobile developer builds native or cross-platform mobile applications for iOS and Android — handling performance, smooth animations, offline capability, App Store compliance, and platform-specific UX patterns that users expect. Mobile development is a distinct discipline from web development; the toolchains, performance constraints, and review processes are fundamentally different. NeuronHire vets mobile developers on Swift/SwiftUI, Kotlin/Jetpack Compose, React Native, and Flutter, and places them with US teams at 30–50% below US rates.

A game developer implements the interactive systems that make games work — gameplay mechanics, physics, AI behaviors, rendering pipelines, and multiplayer networking. The depth of engine knowledge required is significant, and the gap between a capable generalist and a specialist who has shipped titles on Unity or Unreal is wide. NeuronHire vets game developers on both Unity (C#) and Unreal Engine (C++/Blueprint), including platform-specific experience across PC, console, and mobile, and places them at 30–50% below US rates.

A data engineer designs and builds the infrastructure that moves raw data from source systems into forms that analytics and ML teams can actually use — ingestion pipelines, transformation layers, data warehouse models, orchestration, and data quality monitoring. Without reliable data infrastructure, analysts debug pipelines instead of answering questions, and ML models train on garbage. NeuronHire places data engineers from Latin America vetted on Python, Apache Spark, dbt, Airflow, and cloud data platforms (Snowflake, BigQuery, Redshift) — at 30–50% below US market rates with full timezone coverage.

A data analyst turns raw business data into decisions — writing the SQL queries, building the dashboards, and running the analyses that tell leadership what's actually happening with revenue, retention, and product usage. Good data analysts don't just pull numbers; they frame the right question, spot the anomaly in the data, and communicate the finding clearly to someone who's never opened a SQL client. NeuronHire places data analysts from Latin America vetted on SQL, Python, Tableau, Power BI, and dbt — timezone-aligned with US teams at 30–50% below US market rates.

An analytics engineer owns the transformation layer between raw warehouse data and the dashboards your business runs on — writing dbt models, designing dimensional schemas, and encoding business logic into tested, version-controlled SQL. Without this role, analysts reinvent the same metrics over and over in incompatible ways, and data trust collapses. NeuronHire places analytics engineers from Latin America vetted on dbt, Snowflake, BigQuery, and data quality tooling — at 30–50% below US rates, with full timezone overlap.

A BI analyst designs, builds, and maintains the reporting infrastructure that gives business leaders real visibility into performance — dashboards, scorecards, and self-service analytics tools built on clean, governed data models. Without a dedicated BI analyst, reporting is ad-hoc, metrics conflict, and leadership is flying blind or spending engineer hours on spreadsheets. NeuronHire places BI analysts from Latin America vetted on Power BI, Tableau, Looker, SQL, and DAX — delivering enterprise-grade BI work at 30–50% below US rates.

A data governance professional establishes the policies, standards, and infrastructure that keep your data trustworthy, discoverable, and compliant — managing data catalogs, lineage documentation, data quality monitoring, ownership frameworks, and privacy controls. Without governance, data estates grow into a tangle of undocumented tables, conflicting definitions, and undiscoverable assets that analysts can't trust and auditors can't trace. NeuronHire places data governance engineers from Latin America vetted on Collibra, Alation, DataHub, data quality frameworks, and regulatory compliance (GDPR, CCPA, HIPAA) — at 30–50% below US market rates.

A database administrator (DBA) designs, implements, maintains, and optimizes the database systems that your product depends on — keeping them available, performant, secure, and recoverable when things go wrong. Most companies don't think about a DBA until their database is slow or data is at risk; by then, the cost is already high. NeuronHire places DBAs from Latin America vetted on PostgreSQL, MySQL, SQL Server, MongoDB, query optimization, replication, and disaster recovery — at 30–50% below US rates with full timezone alignment.

A machine learning engineer bridges data science and production engineering — taking models from research notebooks to reliable, scalable systems that actually run in your product. The bottleneck at most companies isn't model quality; it's getting models out of notebooks and into production. NeuronHire vets ML engineers on PyTorch, TensorFlow, MLOps tooling (MLflow, Ray, Kubeflow), and modern LLM fine-tuning and inference optimization, and places them with US teams at 30–50% below US rates.

An AI engineer builds AI-powered product features that work in production — not just demos. That means designing RAG pipelines that actually retrieve relevant context, building LLM-powered workflows that handle failure gracefully, and making sure your AI features are fast, cost-efficient, and measurable. The gap between a GPT-4 API call and a reliable AI product is where this role lives. NeuronHire places AI engineers from Latin America vetted on LangChain, LlamaIndex, vector databases, and LLM evaluation frameworks — timezone-aligned with US teams and 30–50% below US rates.

An LLM engineer builds production systems powered by large language models — designing prompting strategies, fine-tuning pipelines, RAG architectures, and evaluation frameworks that make LLM-based features reliable, accurate, and cost-efficient. This is a distinct discipline from general software engineering: the problems are probabilistic, failures are subtle, and the cost structure is unlike anything else in the stack. NeuronHire vets LLM engineers on OpenAI, Anthropic, fine-tuning (LoRA/QLoRA), LangChain, and rigorous evaluation frameworks, and places them at 30–50% below US rates.

A generative AI engineer builds products and features powered by generative models — text (LLMs), images (Stable Diffusion, DALL-E), audio, video, and multimodal systems that create or transform content at scale. The role goes beyond wiring up an API: it covers pipeline design, content safety, quality evaluation, and cost control in production. NeuronHire vets generative AI engineers on LLM APIs, image generation pipelines, and multimodal architectures, and places them at 30–50% below US rates.

A multi-agent engineer designs and builds systems where multiple AI agents collaborate, delegate tasks, and coordinate to accomplish complex goals that a single agent can't handle alone — using frameworks like LangGraph, CrewAI, and AutoGen to implement supervisor, worker, and specialist agent architectures. This is a young but fast-moving discipline: the engineers who are good at it have built systems that actually run in production, not just demos. NeuronHire vets multi-agent engineers on LangGraph, CrewAI, agent orchestration patterns, and reliability engineering for agentic systems, and places them at 30–50% below US rates.

An agentic AI engineer builds AI systems that operate autonomously — agents that plan, invoke tools, manage state across multi-step tasks, and complete real work without hand-holding at every step. The job is designing reliable agent loops: what tools the agent can call, how memory is structured, when to escalate to a human, and what happens when something goes wrong. It's a young discipline that requires both AI engineering depth and a systems engineering mindset. NeuronHire places agentic AI engineers from Latin America who have been assessed on agent frameworks, tool design, memory architecture, and production reliability — at 30–50% below US rates.

An AI orchestration engineer designs and builds the coordination layer that connects AI components — models, agents, tools, APIs, and data sources — into reliable, observable workflows that accomplish complex tasks. Without this layer, multi-step AI pipelines fail silently, have no retry logic, and are impossible to debug. NeuronHire places AI orchestration engineers from Latin America vetted on LangGraph, Prefect, Airflow, and production reliability patterns — at 30–50% below US rates.

An MLOps engineer builds and maintains the infrastructure, tooling, and processes that take machine learning models from development to production — training pipelines, model registries, deployment automation, monitoring, and continuous retraining workflows. Without this role, models trained by data scientists pile up in notebooks and never reach users. NeuronHire vets MLOps engineers on MLflow, Kubeflow, SageMaker, model serving, and ML pipeline automation, and places them at 30–50% below US rates.

An LLMOps engineer builds the operational infrastructure that keeps LLM-powered products reliable in production — prompt versioning, evaluation pipelines, observability tooling, fine-tuning workflows, and cost controls that prevent the silent quality decay that kills LLM applications. Most teams discover they need this role after their LLM product launches, not before. NeuronHire vets LLMOps engineers on LangSmith, LangFuse, RAGAS, and LLM cost engineering, and places them at 30–50% below US rates.

An AI infrastructure engineer owns the compute layer that AI workloads run on — GPU clusters for training, high-throughput inference serving, distributed data pipelines, and the networking and storage infrastructure that determines whether AI systems are fast, reliable, and cost-efficient at scale. This is distinct from MLOps (which manages the ML pipeline software layer) and AI engineering (which builds features). NeuronHire places AI infrastructure engineers from Latin America vetted on Kubernetes, NVIDIA CUDA, Triton Inference Server, and vLLM — at 30–50% below US rates.

An AI platform engineer builds the internal developer platform that lets data scientists and AI engineers build, train, deploy, and monitor AI systems without waiting on infrastructure tickets. The job is designing self-service tools, shared abstractions, and governance guardrails that multiply the productivity of your entire AI organization. NeuronHire places AI platform engineers from Latin America vetted on ML platform design, internal developer tooling, and platform engineering patterns — at 30–50% below US rates.

An AI automation engineer eliminates manual business processes by combining AI capabilities — LLMs, vision models, document extraction — with workflow automation platforms like n8n, Make, and Zapier. The work spans sales ops, customer success, finance, and marketing: anywhere humans are doing repetitive, data-intensive work that AI can now handle. This isn't traditional RPA — these engineers connect judgment-intensive tasks to AI APIs, not just rule-based button-clicking. NeuronHire places AI automation engineers from Latin America vetted on n8n, Make, LLM integration, and custom agentic automation, at 30–50% below US rates.

A data scientist turns data into predictions and decisions — building machine learning models, designing statistically rigorous experiments, running forecasting analyses, and translating complex outputs into business recommendations non-technical stakeholders can act on. The best data scientists aren't just model builders; they're problem framers who know which technique to apply, when more data matters, and when a simpler model beats a complex one. NeuronHire places data scientists from Latin America vetted on Python, ML modeling, experiment design, and communication of results — at 30–50% below US market rates with full timezone coverage.

A prompt engineer designs, tests, and iterates on the instructions, few-shot examples, and output schemas that make LLMs produce reliable results in production — not just in a demo. The gap between a working prototype and a production-grade AI feature is almost entirely a prompt engineering problem. NeuronHire places pre-vetted prompt engineers from Latin America who combine linguistic precision with engineering rigor: building eval pipelines, running A/B experiments, and applying chain-of-thought and structured output techniques. They overlap with US time zones and cost 30–50% less than US equivalents.

A DevOps engineer builds the infrastructure and tooling that lets engineering teams ship software reliably and fast — CI/CD pipelines, cloud environments, container orchestration, monitoring, and incident response. Without this role, deployments are manual and error-prone, cloud costs run wild, and production incidents last longer than they should. DevOps engineers placed by NeuronHire from Latin America are vetted on AWS/GCP/Azure, Kubernetes, Docker, and Terraform — at 30–50% below US rates with full timezone overlap.

A Site Reliability Engineer applies software engineering principles to production operations — defining SLOs, building observability stacks, automating incident response, and systematically eliminating the toil that burns out on-call engineers. SREs placed by NeuronHire from Latin America are vetted on Kubernetes, Prometheus/Grafana, OpenTelemetry, Terraform, and incident management. They overlap with US time zones and cost 30–50% less than US equivalents.

A cloud engineer designs, builds, and manages cloud infrastructure — provisioning compute, storage, networking, and managed services using infrastructure-as-code, and keeping cost, performance, and security in check across AWS, GCP, or Azure. They are the engineers who turn an architect's blueprints into working, auditable infrastructure that can be reproduced, versioned, and rolled back. NeuronHire places cloud engineers from Latin America vetted on Terraform, Kubernetes, cloud-native services, and security best practices — at 30–50% below US rates with full timezone alignment.

A platform engineer builds and maintains the internal developer platform — the shared tools, infrastructure abstractions, deployment workflows, and self-service capabilities that let product teams ship fast without managing infrastructure themselves. The platform team's job is to make every other engineering team faster. NeuronHire vets platform engineers on Kubernetes, Backstage, Crossplane, GitHub Actions, and developer experience design, and places them with US teams at 30–50% below US rates.

A cloud architect designs the overall cloud strategy and system architecture — making decisions about infrastructure topology, service selection, resilience patterns, cost governance, and security posture across an organization's cloud estate. These are decisions that are expensive to reverse once locked in. Cloud architects placed by NeuronHire from Latin America are vetted on AWS/GCP/Azure Well-Architected Frameworks, multi-region design, FinOps, and enterprise security architecture — at 30–50% below US rates with full timezone alignment.

A QA engineer designs and executes test strategies that catch bugs before users do — combining manual exploratory testing with automated suites that cover functional, regression, performance, and API dimensions. Without QA, defect escape rates climb and your engineers spend their time debugging production instead of building. NeuronHire places pre-vetted QA engineers from Latin America vetted on Playwright, Selenium, Postman, REST Assured, and CI/CD integration. They overlap with US time zones and cost 30–50% less than US equivalents.

A test automation engineer builds the frameworks and pipelines that enforce quality at scale — covering UI end-to-end tests, API tests, performance tests, and contract tests that run automatically on every deployment. Manual testing doesn't survive a fast-shipping team; automation does. NeuronHire places pre-vetted test automation engineers from Latin America vetted on Playwright, Cypress, REST Assured, and framework design patterns like Page Object Model and Screenplay. They overlap with US time zones and cost 30–50% less than US equivalents.

A cybersecurity engineer designs and implements the technical controls that protect your applications, infrastructure, and data — spanning application security testing, cloud security posture, IAM, encryption, and incident response. This is hands-on, technical work: running penetration tests, embedding SAST/DAST into CI/CD, hardening IAM policies, and owning your response when something goes wrong. NeuronHire places cybersecurity engineers from Latin America vetted on OWASP, cloud security (AWS Security Hub, GuardDuty), penetration testing methodology, and compliance frameworks like SOC 2 and ISO 27001 — at 30–50% below US market rates.

A DevSecOps engineer integrates security tooling and practices directly into CI/CD pipelines and developer workflows — so that SAST, DAST, SCA, container scanning, and IaC security checks run automatically on every code change rather than as a manual gate before release. Without this role, security is a bottleneck that slows delivery or, worse, gets bypassed. DevSecOps engineers placed by NeuronHire from Latin America are vetted on Semgrep, Checkov, Trivy, GitHub Advanced Security, and policy-as-code frameworks — at 30–50% below US rates with full timezone alignment.

A product manager owns what gets built and why — defining the roadmap, running customer discovery, writing requirements, and keeping engineering, design, and business stakeholders aligned. Without one, the loudest voice in the room drives your product decisions. NeuronHire places pre-vetted PMs from Latin America who are fluent in OKR frameworks, Agile ceremonies, and data-driven prioritization. They overlap fully with US time zones and cost 30–50% less than US equivalents.

A project manager keeps complex, multi-team initiatives on track — managing scope, milestones, risks, dependencies, and stakeholder communication so delivery doesn't slip quietly off the rails. Without one, engineering leads absorb that overhead and engineering output suffers. NeuronHire places pre-vetted project managers from Latin America who are experienced in Agile delivery, risk escalation, and executive reporting. They overlap fully with US time zones and cost 30–50% less than US equivalents.

A UX designer researches user behavior, maps user journeys, creates wireframes and interactive prototypes, and runs usability tests to ensure products are intuitive before engineering builds them. Shipping features that users don't need or can't figure out is one of the most expensive mistakes a product team makes. NeuronHire places pre-vetted UX designers from Latin America vetted on user research methodologies, Figma, information architecture, and WCAG 2.2 accessibility. They overlap with US time zones and cost 30–50% less than US equivalents.

A UI designer creates the visual layer of software products — building component libraries, design tokens, typography systems, and pixel-perfect screens that are both visually sharp and developer-ready. Good UI design isn't decoration; it's the difference between a product that feels polished and one that loses users on first impression. NeuronHire places pre-vetted UI designers from Latin America vetted on Figma, design systems, motion design, and developer handoff workflows. They overlap with US time zones and cost 30–50% less than US equivalents.

A product designer covers the full design function — user research, information architecture, interaction design, and high-fidelity visual design — owning the end-to-end design of features from discovery to developer handoff. The best product designers are force multipliers: they surface problems that would have cost ten engineers a month to fix post-launch. NeuronHire vets product designers on Figma, user research methodologies, design systems, and cross-functional collaboration, and places them with US teams at 30–50% below US rates.

A tech lead is the person who makes sure the team builds the right thing in the right way — setting architectural direction, owning code quality standards, mentoring junior engineers, and translating between product requirements and engineering constraints. They stay hands-on while taking on the leadership overhead that would otherwise fall on a manager or slow down delivery. NeuronHire places pre-vetted tech leads from Latin America vetted on system design, code review practices, mentorship, and cross-functional communication. They overlap with US time zones and cost 30–50% less than US equivalents.

An engineering manager leads an engineering team — owning hiring, performance management, career development, team health, and delivery outcomes. They are the person who notices when an engineer is disengaged before they quit, who makes sprint commitments the team can actually keep, and who shields engineers from organizational chaos so they can build. Engineering managers placed by NeuronHire from Latin America are vetted on 1-on-1 methodology, performance frameworks, hiring process design, and cross-functional stakeholder management — at 30–50% below US rates, communicating fluently in English.

A software architect designs the high-level structure of systems — defining service boundaries, data models, integration patterns, and cross-cutting concerns like security, observability, and resilience that no single engineer should be making alone. Architectural decisions made poorly at year one become multi-million-dollar re-platforming projects at year three. NeuronHire places pre-vetted software architects from Latin America vetted on distributed systems design, DDD, event-driven architecture, and translating business requirements into technical blueprints. They overlap with US time zones and cost 30–50% less than US equivalents.

A fractional CTO provides senior technical leadership on a part-time or advisory basis — setting technology strategy, making the architectural calls that define your platform, building your engineering team, and keeping engineering aligned to business outcomes without the burn rate of a full-time executive. The best fractional CTOs have done it before: they've hired engineers, survived scaling crises, and presented roadmaps to boards. NeuronHire places fractional CTOs from Latin America who are vetted on strategy, team building, and executive communication — at 30–50% below US executive rates, with full timezone overlap for US teams.