Sr IA Engineer
- Role
- AI / ML
- Experience
- Senior
- Employment
- Contract
Open to AR only. Set where you work from to check your eligibility.
No BS summary
Senior AI Engineer to build Gen AI-driven tools, copilots, and automation for internal developer platforms. Must have deep Docker/Kubernetes, AWS/GCP, Terraform/Ansible, Python and Bash/Go proficiency, plus practical LLM integration experience. Remote contract role based in Argentina.
Core skills
Required skills
Optional skills
About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
This is a high-impact technical role. We are looking for a Senior AI Engineer to join our Cloud Platform initiatives. You will operate at the intersection of research, cloud infrastructure, and software engineering, pioneering AI solutions to transform the Software Development Lifecycle (SDLC). Your primary mission is to build intelligent tooling, copilots, and automation that boost developer velocity, optimize CI/CD pipelines, and scale platform capabilities.
This is a hands-on execution and research-driven role. You are responsible for designing, benchmarking, and deploying GenAI-driven solutions directly into internal developer platforms and infrastructure workflows.
What To Expect In This Role (Responsibilities)
- AI for Developer Acceleration: Build AI-powered tools, internal assistants, and copilots across each stage of the SDLC (code generation, code reviews, testing, documentation, and IaC generation) to reduce cognitive load and eliminate manual steps.
- Research & Prototyping: Investigate, benchmark, and deploy GenAI solutions (e.g., LLMs, RAG pipelines, GitHub Copilot) to improve delivery pipelines, reduce lead time, and enhance system reliability.
- Platform & Delivery Innovation: Prototype AI-driven platform features such as cost-aware autoscaling, predictive incident resolution, and automated root cause analysis within DevOps environments.
- Internal Developer Platform (IDP): Collaborate closely with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
- Cross-Team Collaboration & Knowledge Sharing: Partner with engineering leadership to identify operational friction, test novel AI approaches, and scale learnings through workshops and internal demos.
Requirements
- Technical & Infrastructure Foundation: Senior-level proficiency with container orchestration (Docker, Kubernetes), cloud environments (AWS or GCP), and Infrastructure-as-Code (Terraform, Ansible).
- Development Skills: Strong hands-on proficiency in Python and scripting languages (Bash or Go) to build across AI models, internal tooling, and cloud infrastructure codebases.
- AI/ML Proficiency: Practical experience implementing Large Language Models (LLMs) and code-generation tools (e.g., Codex, Claude, StarCoder, GPT family) into real-world software workflows.
- SDLC & DevOps Mastery: Deep understanding of the complete Software Development Lifecycle (planning, testing, releasing, monitoring) and modern CI/CD automation systems.
- Mindset & Communication: Research-driven, curious approach to evaluating new technologies, combined with strong problem-solving skills and the ability to articulate complex AI solutions to technical teams.
Nice to Have
- Hands-on experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and custom model fine-tuning.
- Experience building, scaling, or contributing to Internal Developer Platforms (IDP).
- Published research, open-source contributions, or projects involving AI applied to software quality, deployment safety, or observability.
Benefits
- High-impact, strategic role driving the future of AI-assisted engineering.
- Collaborative international environment with senior technical leadership.
- High autonomy to research, prototype, and implement cutting-edge GenAI workflows.
- Long-term engagement with competitive compensation and growth opportunities.
Why Join Coderio?
At Coderio, we value talent and technical excellence. We are passionate about modern engineering, high autonomy, and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to research and deploy next-generation AI solutions that elevate engineering teams, apply now.
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What you'll do
- Build AI-powered development, assistants, and copilots across each stage of the SDLC (code generation, testing, documentation, and code generation of IaC) to reduce cognitive load and eliminate manual steps.
- Investigate, benchmark, and deploy GenAI solutions (e.g., LLMs, RAG pipelines, GitHub Copilot) to improve delivery pipelines, reduce lead time, and enhance system reliability.
- Prototype AI-driven platform features such as cost-aware autoscaling, predictive incident resolution, and automated root cause analysis within DevOps environments.
- Collaborate closely with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
- Partner with engineering leadership to identify operational friction, test novel AI approaches, and scale learnings through workshops and internal demos.
What they require
- 5+ years of experience as a Senior AI/ML Engineer or similar role
- Senior-level proficiency with container orchestration (Docker, Kubernetes), cloud environments (AWS or GCP), and Infrastructure-as-Code (Terraform, Ansible).
- Strong hands-on proficiency in Python and scripting languages (Bash or Go) to build across AI models, internal tooling, and cloud infrastructure codebases.
- Practical experience implementing Large Language Models (LLMs) and code-generation tools (e.g., Codex, Claude, StarCoder, GPT family) into real-world software workflows.
- Deep understanding of the complete Software Development Lifecycle (planning, testing, releasing, monitoring) and modern CI/CD automation systems.
- Research-driven, curious approach to evaluating new technologies, combined with strong problem-solving skills and the ability to articulate complex AI solutions to technical teams.
- Preferred: Hands-on experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and custom model fine-tuning.
- Preferred: Experience building, scaling, or contributing to Internal Developer Platforms (IDP).
- Preferred: Published research, open-source contributions, or projects involving AI applied to software quality, deployment safety, or observability.
Benefits
- High-impact, strategic role driving the future of AI-assisted engineering.
- Collaborative international environment with senior technical leadership.
- High autonomy to research, prototype, and implement cutting-edge GenAI workflows.
- Long-term engagement with competitive compensation and growth opportunities.