Senior Forward Deployed Full Stack Engineer, AI-Native

Globant — United Arab Emirates · Posted ~2 hours ago

Senior

Skills

Full-stack development .NET React Software architecture AI-assisted development AI-generated code validation Production engineering Technical solutioning AI agents

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Summary ✨ AI‑Generated

A senior AI-native Full Stack Engineer is sought to work closely with product teams and own features from technical design through production. You will make architectural decisions, validate AI-generated code, and build resilient solutions using .NET and React. The role suits an engineer who enjoys high-velocity delivery, end-to-end ownership, and applying AI-agentic workflows to real-world enterprise systems.

Highlights

Own end-to-end delivery from technical solutioning through production. The role combines architectural decision-making, hands-on full-stack engineering, AI-assisted development, and direct collaboration with product teams on a high-scale transactional platform.

Description

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. We are seeking a Forward Deployed Engineer (Full-Stack, AI-Native) who shares our passion for innovation and high-velocity engineering. Operating embedded alongside product teams in an AI-agentic delivery workflow, you will bridge technical decision-making with hands-on full-stack development making key architectural choices, validating AI-generated code, and shipping resilient .NET, React, and integrated solutions directly to production. Role Summary This role owns end-to-end delivery on a highly transactional booking platform serving 8 markets in 2 languages. You take features from technical solutioning to production across the full stack: React/TypeScript frontends, the .NET services and BFF, and the booking, payments and loyalty integrations underneath. You work embedded with the Product team inside an agentic delivery workflow. By the time a feature reaches you, requirements and designs have already been analysed against the current codebase by AI agents, and you get a mapped impact and a set of implementation options with pros and cons. Your job is to challenge that analysis, make the final technical decision, and implement it across the stack yourself. The role is hands-on and autonomous. You're expected to get productive quickly in an existing codebase, decide within your scope without waiting to be unblocked, and escalate only the decisions that really need it. Agentic coding tools (Claude Code, Codex, Copilot) are the default way of working. What we value most is judgement about when to trust, verify or rewrite what they produce. Core Responsibilities End-to-end technical solutioning Review agent-generated impact analysis and solution options for each feature, validate them against the real codebase, and make the final technical decision with clear reasoning.Own the solution design across frontend, BFF, backend services and integrations, including the trade-offs on performance, risk and delivery time.Work directly with Product, Design and client stakeholders to clarify requirements, flag technical constraints early, and shape scope. Full-stack development Build and ship features across React/TypeScript frontends and .NET services and BFF.Own integration contracts for booking, payments and loyalty, including failure handling, idempotency and retry behaviour on transactions.Work with CMS-driven content (Strapi) and across web and mobile client surfaces. AI-native delivery Use agentic coding tools as the default mode for implementation, refactoring, test generation and codebase exploration.Keep context artifacts current (repo conventions, agent instruction files, prompts and scripts) so the whole team and the agents work from the same foundation.Help define the team's rules for AI-assisted work: what agents do, what they don't, and what must be human-verified before merge. Quality and production ownership Review PRs, human- and AI-authored, watching for hallucinated APIs, deprecated calls, hidden complexity on hot paths, and tests that assert nothing.Take part in RCA on production failures and turn findings into fixes, logging and guardrails.Act as a technical counterpart to the Technical Director, Product and QA, making decisions within your scope rather than escalating by default. Tooling & StackFrontend: React TypeScript Flutter (mobile surface)Backend: C# / .NET 8+ ASP.NET Core REST APIs / BFF pattern RedisAI & agentic workflow: Claude Code OpenAI Codex GitHub Copilot MCP servers agent instruction filesPlatform: Azure Docker GitHub Actions ArgoCD New RelicIntegrations: Checkout.com (payments, 3DS) Strapi CMS Experience & Skills Must have 7+ years in software engineering, with strong production experience in both C#/.NET backend and React/TypeScript frontend, and still writing production code daily.A track record of taking features end to end, from technical design to production, in an existing codebase.Daily use of agentic coding tools on production code, with concrete examples of what changed in your delivery: scope, cycle time, test coverage, or refactors you wouldn't otherwise have attempted.The ability to evaluate AI-proposed solutions critically and make sound technical decisions autonomously, knowing when to decide and when to escalate.A strong code review practice, including a clear personal method for catching AI-generated defects.Experience integrating third-party transactional APIs (payments, PSPs, booking or ticketing engines) where partial failure has commercial consequences.Experience in fast-paced delivery with short cycles, feature flags and frequent releases.Comfort working directly with client-side product and business stakeholders, in English. Strongly preferred Set or documented AI-assisted development standards for a team (review policy, agent instructions, prompt or context libraries).High-volume transactional or booking platforms, and multi-market or multi-currency systems.Azure, distributed tracing, and production debugging with New Relic or similar.Flutter or mobile experience, and CMS-driven content. This job can be filled in Dubai, United Arab Emirates Onsite Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits.