Senior AI Platform Engineer — AI Agents, CI/CD & Cloud

Sysmatch; Lisboa; On-site; EUR 30,000 - 45,000; Full time

Benefits offered by this job

Personal onboarding experience

Constructive feedback for growth

International client project

Competitive salary package

Career development opportunities

Collaborative culture

Exclusive discounts network

Team-building events

Job summary

Sysmatch is seeking a seasoned software engineer to drive AI agent development in production, build robust platform engineering foundations, and scale DevOps practices across the SDLC. You will craft agent orchestration, tooling, and context engineering with a focus on reliability and developer productivity.

The role requires 8+ years of experience, proficiency in Python and TypeScript, and hands-on work with cloud infrastructure (GCP) and IaC (Terraform).

Qualifications

• 8+ years of software engineering experience with senior/lead responsibilities.
• Proven experience deploying AI agents in production including orchestration and evaluation frameworks.
• Strong background in Platform Engineering, DevOps and CI/CD practices.
• Proficient in Python and TypeScript; exposure to Kotlin/Go/Rust is a plus.
• Experience with cloud infra (GCP or equivalent) and Terraform or similar IaC.

Responsibilities

• Design and build agentic development workflows and automation across the SDLC.
• Develop and integrate AI agents, orchestration, MCP servers, and context engineering.
• Implement evaluation frameworks, guardrails, and quality checks for reliable outputs.
• Build and optimize CI/CD pipelines, infra automation, and developer tooling.
• Integrate AI workflows with Jira, source control, and CI platforms.
• Improve engineering efficiency, reliability, and developer experience.

Skills

AI agents production

Platform Engineering

DevOps

CI/CD

Python

TypeScript

Software architecture

Autonomy & ownership

Tools

Terraform

GCP

CI tooling

Jira

Job description

Sysmatch is seeking a seasoned software engineer to drive AI agent development in production, build robust platform engineering foundations, and scale DevOps practices across the SDLC. You will craft agent orchestration, tooling, and context engineering with a focus on reliability and developer productivity.

The role requires 8+ years of experience, proficiency in Python and TypeScript, and hands-on work with cloud infrastructure (GCP) and IaC (Terraform).