Company Overview
At Bridgenext, we engineer Growth Operating Systems.
Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins.
We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS.
More than a technology company or marketing agency, we're a integral digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do.
Every team member directly shapes our work, culture, and values.
Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone.
Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
The AI Technical Lead is a hands-on technical leadership role responsible for designing, developing, and delivering production-grade AI solutions.
The role combines strong software engineering and solution architecture expertise with hands-on experience in Generative AI, LLMs, RAG, Agentic AI, Model Context Protocol (MCP), AI-enabled SDLC, and Microsoft Azure.
The Technical Lead will translate business requirements into scalable AI solutions, provide technical direction to engineering teams, establish reusable patterns and guardrails, and ensure solutions meet enterprise requirements for security, reliability, performance, observability, cost, and Responsible AI.
Key Responsibilities & Technical Skills:
Design and deliver enterprise AI solutions using LLMs, RAG,ntions.Collaborate on API design and integration with FastAPI backend services,



including OpenAPI contracts and BFF endpoints.Ensure end-to-end correctness across workflows involving queues, agents, assignments, conversations, and operational metrics.Contribute to authorization-aware UX aligned with gateway permissions and domain-level capability models.Troubleshoot issues across the frontend BFF backend stack using both traditional debugging techniques and AI-assisted workflows.Ensure the reliability, accessibility, and performance of agent-critical workflows running in production.Participate in code reviews, architecture discussions, technical decision-making, and engineering best practices around type safety, linting, testing, and maintainability.What You Bring8+ years of software engineering experience, with a strong frontend-oriented background.Strong production experience with React and TypeScript.Hands-on experience actively using AI development tools and agentic workflows such as Cursor, Claude Code, GitHub Copilot, coding agents, AI-assisted specifications, or similar tooling.Ability to use AI as part of the engineering workflow while maintaining ownership over architecture, code quality, testing, and technical decisions.Experience building complex product interfaces involving forms, tables, filters, dashboards, and multi-step workflows.Strong understanding of modern frontend development practices and component-driven architectures.Experience with modern bundlers such as Webpack, Rspack,



or Vite.Experience with Tailwind CSS or similar modern styling frameworks.Experience consuming REST APIs and working with OpenAPI-based services.Ability to debug and troubleshoot issues across frontend and backend boundaries.Experience with modern state management and server‐state patterns such as TanStack Query, React Context, and hooks.Strong debugging, problem‐solving, and technical decision‐making skills.Ability to collaborate effectively with Product, Engineering, and operational stakeholders.Advanced English proficiency, both spoken and written.Nice to HaveExperience designing or integrating AI‐agent workflows, AI‐powered interfaces, or automated support operations.Experience with micro-frontends or Module Federation.Experience working with monorepos using pnpm, Turbo, Nx, or similar tools.Familiarity with Refine, react‐intl, or admin/operations-focused internal platforms.Experience developing BFF layers with Node.js / Fastify.Experience with Python / FastAPI, particularly the ability to understand APIs, propose schema changes, or implement small backend endpoints.Experience working with PostgreSQL‐backed services and transactional or domain‐oriented APIs.Experience in FinTech, payments, remittances, customer support platforms, or high‐volume operational systems.Experience with GCP, including technologies such as OIDC or Pub/Sub.Experience with Docker and CI/CD in cloud‐native environments.Familiarity with Storybook, Vitest, and design‐system workflows.Experience working in fast‐moving startup or scale‐up environments.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Ai Technical Lead (Santa Fe)
🏢 Bluelightconsulting
📍 Santa Fe