Full Stack Engineer, Internal Tools & Automation

Techunting; Buenos Aires; Presencial; BRL 167 400 - 279 000; Tempo integral

Resumo da oferta

Techunting is seeking a Full Stack Engineer for their Growth and Development team to enhance systems, automation, and AI enablement. This role focuses on building internal tools and integrations that enhance company operations.

The ideal candidate will have 4+ years of software engineering experience, strong full stack fundamentals, and a genuine interest in AI technologies. Responsibilities include developing applications, automating workflows, and collaborating with multiple stakeholders across the organization.

Qualificações

• 4+ years of professional software engineering experience, ideally in a startup environment.
• Strong knowledge of Python, JavaScript/TypeScript, and modern frontend frameworks.
• Experience with relational databases like PostgreSQL.

Responsabilidades

• Build and maintain internal tools and full stack applications.
• Integrate APIs and create automations for various teams.
• Develop internal data pipelines, dashboards, and operational reports.

Conhecimentos

Full stack fundamentals

Python

JavaScript/TypeScript

APIs and integrations

Automation workflows

Relational databases and SQL

AWS

Systems thinking

AI/LLM technology

Descrição da oferta de emprego

About The Role

We're seeking a Full Stack Engineer, Internal Tools & Automation to join our Growth and Development team in a highly cross‑functional role focused on systems, automation, AI enablement, and operational tooling.

This is not a traditional product engineering role. We’re looking for a technical generalist — someone who enjoys building across the stack, solving business problems with software, and partnering directly with both technical and non‑technical stakeholders.

You’ll work closely with Growth, Sales, Operations, Marketing, and Engineering to design and build internal systems, AI‑powered workflows, automations, integrations, and lightweight applications that improve how the company operates and scales.

The ideal candidate is comfortable wearing multiple hats: engineer, systems thinker, automation builder, technical partner, and problem solver. One week you may be building an internal dashboard or integrating APIs; the next you may be prototyping AI workflows, improving operational processes, or helping teammates adopt new tooling.

You should be excited about using AI as a practical tool for productivity and innovation while still maintaining strong engineering fundamentals and ownership over the systems you build.

Responsibilities

• Build and maintain internal tools, full stack apps, and automations that help Growth, Sales, Ops, and Marketing run and scale.
• Build and maintain integrations across internal systems, third‑party platforms, CRMs, APIs, and data sources.
• Build internal data pipelines, dashboards, and operational reporting.
• Build AI‑powered tooling and LLM‑integrated workflows that improve productivity and decision‑making.
• Partner with technical and non‑technical stakeholders to turn operational needs into scalable solutions, including GTM workflows.
• Own projects end‑to‑end, from requirements and architecture through implementation and iteration.
• Work with the Tech department on technical decisions and standards for maintainability and scalability.

Experience & Qualifications

• 4+ years of professional software engineering experience, ideally in startup, growth‑stage, or highly cross‑functional environments.
• Have shipped and owned production software that others depend on.
• Strong full stack fundamentals: Python on the backend, JavaScript/TypeScript and a modern frontend framework.
• Comfortable with APIs, integrations, and automation workflows.
• Relational databases and SQL (PostgreSQL or similar).
• Cloud infrastructure and services (AWS preferred).
• Strong systems thinking and problem‑solving; comfortable with ambiguity and operating autonomously.
• Collaborates directly with business stakeholders, translating operational needs into solutions and explaining technical concepts to non‑technical folks.
• Genuine interest in AI/LLM tech, and comfortable using AI‑assisted dev tools while owning implementation quality.

NICE TO HAVES

• Entrepreneurial mindset and a genuine interest in business operations and how companies scale. A great fit for a builder with eventual founder ambitions: you'll get exposure across the whole business while owning the systems that run it.
• Experience with CRM or GTM systems such as HubSpot, Apollo, Salesforce, or similar platforms.
• Experience building workflow automations and operational tooling.
• Familiarity with AI APIs, prompt engineering, agents, or orchestration frameworks.
• Experience in adtech, martech, SaaS, or performance marketing environments.
• Understanding of go‑to‑market operations, sales workflows, or business systems architecture.