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Engineering AI Product Engineer LLM Systems & DevOps
Research Engineer
Mid‑level AI Product Engineer building LLM‑powered SaaS solutions with React front‑ends and AWS infrastructure, focusing on scalable deployment and continuous integration.
About the role
Key Responsibilities
- Design, develop, and maintain LLM‑based features for a cloud‑native SaaS platform using Python and React.
- Implement CI/CD pipelines and infrastructure automation on AWS (ECS/EKS, Lambda, S3, RDS).
- Collaborate with data scientists to integrate fine‑tuned models and monitor performance in production.
- Ensure high availability, security, and compliance of AI services through DevOps best practices.
- Participate in code reviews, performance tuning, and technical documentation.
Requirements
- 3–6 years of full‑stack engineering experience with Python and React.
- Hands‑on experience deploying LLMs (e.g., GPT, Llama) to AWS environments.
- Proficiency in DevOps tools: Docker, Kubernetes, Terraform, GitHub Actions.
- Strong understanding of cloud security, monitoring, and cost optimization.
- Excellent problem‑solving skills and a collaborative mindset.