Senior GenAI Engineer for Developer Acceleration

Coderio; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Coderio is seeking a Senior AI Engineer to join our Cloud Platform initiatives. You will design and deploy GenAI-driven tooling that accelerates software development, from code generation to IaC, across our internal developer platforms.

This hands-on role blends research with practical implementation, benchmarking AI models, and integrating intelligent automation into CI/CD pipelines while collaborating with Platform, SRE, and DevOps teams.

Qualifications

• Senior-level proficiency with container orchestration (Docker, Kubernetes) and cloud environments (AWS or GCP)
• Strong hands-on proficiency in Python and scripting (Bash or Go)
• Experience implementing Large Language Models (LLMs) and code-generation tools
• Deep understanding of Software Development Lifecycle (planning, testing, releasing, monitoring) and CI/CD automation
• Research-driven, curious mindset with ability to communicate AI concepts to technical teams

Responsibilities

• AI for Developer Acceleration: Build AI-powered tools, internal assistants, and copilots across the SDLC to reduce cognitive load.
• Research & prototyping: Benchmark and deploy GenAI solutions to improve delivery pipelines and reliability.
• Platform & delivery innovation: Prototype AI-driven platform features within DevOps environments.
• Internal Developer Platform (IDP): Collaborate with Platform, SRE, and DevOps teams to integrate automation.
• Cross-team collaboration: Share learnings through workshops and internal demos.

Job description

Coderio is seeking a Senior AI Engineer to join our Cloud Platform initiatives. You will design and deploy GenAI-driven tooling that accelerates software development, from code generation to IaC, across our internal developer platforms.

This hands-on role blends research with practical implementation, benchmarking AI models, and integrating intelligent automation into CI/CD pipelines while collaborating with Platform, SRE, and DevOps teams.