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Integration Engineer II - AI and Python Developer
Implementation Engineer
Mid‑level Integration Engineer specializing in AI solutions, building and maintaining Python‑based pipelines on AWS and Azure, implementing CI/CD workflows, and fine‑tuning large language models with AWS Bedrock.
About the role
Key Responsibilities
- Design, develop, and maintain Python integration services that connect on‑premise systems with cloud AI platforms.
- Implement and optimize CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) for automated testing, deployment, and monitoring of AI workloads.
- Leverage AWS Bedrock to fine‑tune large language models and integrate them into existing business applications.
- Collaborate with data scientists and DevOps teams to operationalize AI‑Ops practices, including model versioning, scaling, and performance monitoring.
- Ensure security, compliance, and cost‑efficiency across AWS and Azure environments.
Requirements
- 3+ years of professional experience with Python development and cloud services (AWS and Azure).
- Hands‑on experience building CI/CD pipelines and automating deployments for AI/ML workloads.
- Proficiency with AWS Bedrock or similar LLM platforms and experience fine‑tuning models.
- Strong understanding of AI‑Ops concepts, containerization (Docker/Kubernetes), and infrastructure‑as‑code (Terraform, CloudFormation).
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.