
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
📋 Compliance
💰 Non equity assistance on 2025-04
Artificial Intelligence • SaaS • Compliance
Aracor is an AI-native, end-to-end dealmaking platform that streamlines due diligence, negotiation, and compliance for investors, legal counsel, and deal teams. It uses machine learning to summarize contracts, extract clauses and obligations, verify citations, detect deviations between term sheets and final documents, and analyze multilingual documents, all while enforcing strong security and data privacy controls such as zero data retention, MFA, and ISO 27001/SOC 2/GDPR compliance.
🕒 March 20
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
Kubernetes
MariaDB
Postgres
Prometheus
Python
Redis
Go
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11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
📋 Compliance
💰 Non equity assistance on 2025-04
Artificial Intelligence • SaaS • Compliance
Aracor is an AI-native, end-to-end dealmaking platform that streamlines due diligence, negotiation, and compliance for investors, legal counsel, and deal teams. It uses machine learning to summarize contracts, extract clauses and obligations, verify citations, detect deviations between term sheets and final documents, and analyze multilingual documents, all while enforcing strong security and data privacy controls such as zero data retention, MFA, and ISO 27001/SOC 2/GDPR compliance.
• Design, develop, and maintain scalable backend services using Python (FastAPI, Temporal) and Go lang using modern architectural patterns. • Implement well-structured REST and asynchronous APIs driven by OpenAPI specifications, ensuring contract consistency and backward compatibility. • Evolve the existing proof-of-concept into robust, production-ready components with clear boundaries, interfaces, and observability. • Design and optimize data models using PostgreSQL for relational data and Qdrant for vector-based search. • Ensure performance, scalability, and consistency across high-volume workloads involving document metadata, embeddings, and structured content. • Collaborate with AI engineers to design retrieval and indexing mechanisms for hybrid RAG workflows. • Work with AI engineers to expose model orchestration and retrieval layers through well-defined interfaces. • Collaborate with front-end and QA engineers to ensure API usability, performance, and testability. • Contribute to the system design discussions and translate product requirements into reliable backend services. • Ensure secure, compliant, and maintainable implementations, including authentication (OIDC/SSO), role-based access control (RBAC/ABAC), and data protection principles. • Apply best practices in test-driven development, code reviews, and CI/CD integration. • Implement observability through structured logging, metrics, and tracing (OpenTelemetry, Prometheus, Grafana). • Profile and optimize performance across API endpoints and data flows. • Contribute to automation, deployment, and release management using GitHub Actions and Argo CD. • Propose architectural improvements, automation, and tools to streamline development workflows. • Help document design decisions (RFCs, ADRs) and maintain high standards for maintainability and reliability.
• 3 to 5 years of experience implementing backend and API layers using Python and Golang, experience in frameworks such as FastAPI, Dramatiq, or equivalent. • Solid understanding of design principles of modern backend software development. • Solid understanding of API design principles, OpenAPI / AsyncAPI specifications, and contract-driven development. • Experience with relational databases (PostgreSQL, MariaDB) and vector databases (Qdrant, OpenSearch, or similar). • Proven ability to turn PoCs into scalable production systems with clear architectural patterns and documentation. • Familiarity with asynchronous processing, distributed systems, and caching mechanisms (Redis preferred). • Experience deploying services in containerized and cloud environments (GCP, Docker, Kubernetes). • Experience integrating QA pipelines, observability, and rollouts using GitHub Actions, Argo CD, or similar tools. • Skilled in unit and integration testing with pytest or equivalent. • Understanding of secure-by-design principles, data protection, and access control (SSO/OIDC, RBAC/ABAC). • Strong communication skills; able to collaborate effectively with frontend, AI, and product teams.
• Impact & Ownership: A central role building the core backend of an AI-driven platform redefining legal technology. • Growth Opportunities: Autonomy to design and implement backend systems with room to grow into a staff-level or architectural role as the platform scales. • Remote-First Culture: Work from anywhere. We value results, trust, and autonomy over rigid schedules. • Mission-Driven Team: Join a team of engineers, AI researchers, and legal experts building technology that combines human expertise with AI precision.
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