1 день назад
Senior AI Engineer (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GenAI): Building intelligent developer tooling, copilots, and automation for cloud platforms and the software development lifecycle with an accent on LLM integration, CI/CD optimization, and internal developer platforms. Focus on designing and benchmarking RAG and code-generation solutions, deploying predictive incident resolution and root cause analysis, and integrating AI into DevOps workflows.
Location: Remote from Argentina, Brazil, or Uruguay
Company
designs and delivers scalable digital solutions for global companies, combining technical expertise with a product-oriented approach.
What you will do
- Build AI-powered tools, internal assistants, and copilots across the software development lifecycle, including code generation, code reviews, testing, documentation, and infrastructure-as-code generation.
- Research, benchmark, and deploy generative AI solutions such as LLMs, RAG pipelines, and code-generation tools.
- Develop AI-driven platform capabilities including cost-aware autoscaling, predictive incident resolution, and automated root cause analysis.
- Integrate intelligent automation into internal developer platforms in collaboration with Platform, SRE, and DevOps teams.
- Identify operational friction, evaluate new AI approaches, and share results through workshops and internal demonstrations.
Requirements
- Senior-level experience with Docker, Kubernetes, AWS or GCP, Terraform, and Ansible.
- Strong hands-on proficiency in Python and Bash or Go for AI, internal tooling, and cloud infrastructure development.
- Practical experience implementing LLMs and code-generation tools such as Codex, Claude, StarCoder, or GPT models in software workflows.
- Deep understanding of the full software development lifecycle and modern CI/CD automation systems.
- Research-driven approach, strong problem-solving skills, and the ability to explain complex AI solutions to technical teams.
Nice to have
- Experience with RAG architectures, prompt engineering, or custom model fine-tuning.
- Experience building or scaling Internal Developer Platforms.
- Published research, open-source contributions, or AI projects related to software quality, deployment safety, or observability.
Culture & Benefits
- High-impact role focused on AI-assisted engineering.
- Collaborative international environment with senior technical leadership.
- High autonomy to research, prototype, and implement generative AI workflows.
- Long-term contract engagement with competitive compensation and growth opportunities.
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