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About the role
About the Role
Responsibilities
- Maintain, scale, and secure our Python FastAPI backend and microservices
- Serve and optimize large language models (LLMs) via performant, cost-aware inference endpoints
- Design and build robust, scalable APIs to support product and customer use cases
- Set up and manage CI/CD pipelines, observability, and monitoring to ensure system reliability
- Manage cloud infrastructure and optimize spend, balancing performance and cost
- Implement security best practices and support compliance with frameworks like SOC 2 and ISO 27001
- Work closely with product and front-end engineers, translating user and product needs into scalable backend architecture
- Collaborate with technical vendors, AI providers, and cloud platforms on integrations and deployments
- Triage and resolve backend bugs or incidents, especially those affecting customer experience
- Support post-sales technical implementation and onboarding for enterprise customers
Requirements
- 3+ years as a backend engineer working on production systems
- Strong proficiency in Python and experience building with FastAPI or similar frameworks
- Deep experience with RESTful APIs, PostgreSQL, and Docker
- Solid understanding of backend infrastructure, including deployment, CI/CD, observability, and debugging
- Experience working with or integrating LLM inference pipelines
- Familiarity with cloud platforms (e.g. AWS, GCP, or Azure)
- Strong understanding of security, data privacy, and compliance in an enterprise SaaS context
- Clear communicator and cross-functional collaborator
- Comfortable working in a startup environment with shifting priorities and open threads
- Experience building and scaling systems to support LLM-serving infrastructure
- Exposure to infrastructure-as-code (e.g. Terraform, Pulumi) and Kubernetes
- Prior experience with SOC 2, ISO 27001, or similar audits
- 0→1 startup experience and ability to navigate ambiguity with ownership
- DevOps mindset: build, monitor, fix, and improve continuously
Why Join Alinia?
- Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust
- High ownership & growth: Be a core part of the early engineering team with massive upside
- Flexible work: Hybrid or remote work, with preference for CET time zone
- Collaborative culture: Small, experienced, mission-driven team
- Impact: Directly shape the technical foundation of an AI governance platform adopted by enterprises
About the company
A
Alinia Ai
No company description available.
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