Full‑stack developer (ai & i)
reporting directly to the chief of innovation, the primary objective of this role is to design, develop, and maintain web applications, intelligent agents, and automations for internal initiatives with a strictly ai‑native approach. Every feature is conceived, prototyped, and delivered leveraging ai throughout the development lifecycle.
this position requires a professional who codes primarily with ai assistants as a central productivity tool – not as an occasional complement – to multiply delivery speed while maintaining exceptional quality.
key responsibilities
* end‑to‑end feature development: build ui, api, and business logic using the aurora stack (react/next.js on the frontend, python or node.js on the backend) with ai‑assisted workflows (pair programming with llms, code generation/refactoring, and agent‑assisted code reviews).
* build intelligent agents and rag pipelines over vertex ai and aws bedrock, including models, embeddings, function calling, and design/implement internal process automations for aurora's automation pillar.
* quasi‑devops infrastructure management: operate the service infrastructure end‑to‑end, manage iac (terraform), containers (docker), databases, secrets, iam, networking, observability, and ci/cd, and maintain deployment standards.
* ai quality & collaboration: iterate with high‑quality prompts and context engineering (guardrails, evaluations), implement rigorous testing with pytest for apis and backend code, document technical decisions, and collaborate with the ai solutions analyst and stakeholders.
what we are looking for
education
* bachelor's degree in systems engineering, computer science, software engineering, tics, or related fields. Specialization or additional courses in ai/cloud highly desirable.
experience
* 1 to 3 years of professional experience required; 3 to 5 years desirable.
english
* fluent technical reading skills and ability to participate in meetings with stakeholders or vendors.
technical skills & tools
* ai‑native editors: proficiency with cursor, claude code, github copilot, or equivalent.
* llms & generation: proactive use of chatgpt, claude, gemini for architecture design, debugging, and continuous learning.
* version control: git, github, pr‑based workflows, ai‑assisted code reviews.
* testing & infrastructure: pytest, docker, terraform, vertex ai sdk, aws bedrock sdk.
* cloud platform: mid‑level knowledge of aws and gcp; navigate the gcp console, manage iam, and configure basic cloud resources.
proficiency scale
* advanced (ai coding): prompt & context engineering using cursor, claude, copilot.
* intermediate (cloud infra & devops): iac, containers, ci/cd, iam, observability with terraform, docker, gcp, aws.
* intermediate (full‑stack development): react/next.js, python/node, vertex ai, aws bedrock, llms, rag frameworks, intelligent agents.
why join us
this role offers direct visibility to senior leadership and executive direction. You will work at the forefront of corporate ai transformation, building real‑world implementations of intelligent agents, complex automations, and cutting‑edge cloud infrastructure over vertex ai and aws bedrock.
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