1 день назад
Software Engineer, Backend (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Backend (AI): Building and operating backend services, APIs, asynchronous processing, and data pipelines for an agentic AI legal platform with an accent on scalability, reliability, authentication, and high-volume document processing. Focus on designing message-queue workflows with retry and idempotency, optimizing PostgreSQL schemas and queries, integrating search and vector storage, and instrumenting production services.
Location: Singapore remote office
Company
AI Labs is an innovation and engineering hub building an AI platform for corporate legal departments and global law firms.
What you will do
- Implement, test, and operate backend services and REST APIs for an agentic AI platform.
- Build message-queue-based asynchronous processing with retries, idempotency, dead-letter handling, and failure recovery.
- Contribute to pipelines that ingest, parse, store, and index large volumes of documents.
- Implement authentication and authorization with OAuth2, OIDC, SAML, and role-based access control for multi-tenant environments.
- Design and optimize PostgreSQL schemas and queries, perform live production migrations, and integrate Solr and Qdrant.
- Instrument services with metrics, logs, and traces, participate in on-call support, code reviews, technical design reviews, automated testing, and CI maintenance.
Requirements
- 3+ years of professional experience building and operating production backend services, including incident response.
- Proficiency in Python or a comparable language with the ability to work primarily in Python.
- Experience with AWS, GCP, or Azure; relational databases; schema design; query optimization; and migrations.
- Experience with asynchronous or event-driven processing, message queues, REST APIs, automated testing, and continuous integration.
- Familiarity with Docker, Kubernetes, and observability practices including metrics, logging, and tracing.
- Demonstrated proficiency using AI tools in software development and the ability to communicate clearly and solve ambiguous problems.
Nice to have
- Experience with high-volume data or document-processing pipelines.
- Experience with Terraform, multi-tenant SaaS architectures, AI/ML systems, or data-intensive applications.
- Experience in legal technology or another regulated industry.
- Exposure to OAuth2, OIDC, and SAML authentication and authorization standards.
Culture & Benefits
- Startup-style environment within a global organization, with high autonomy, trust, and rapid iteration.
- Collaborative, technically focused, and low-bureaucracy working environment.
- Enterprise-wide learning and internal mobility opportunities.
- Flexibility and respect for life beyond work.
- Benefits package details are provided during the initial screening process.
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