Responsibilities

• Design, develop, and maintain scalable backend services using Python (FastAPI, Temporal) and Golang 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.

Qualifications

• 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.
• Advantageous Experience:
• Familiarity with retrieval-augmented generation (RAG), embedding pipelines, or AI service integration.
• Exposure to SaaS or multi-tenant architectures.

What We Offer

• Impact & Ownership: A central role building the core backend of an AI-driven platform redefining legal technology. Your work will power every product feature and integration.
• 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. We move fast, learn constantly, and value initiative and clarity.