Technical leader and architect managing backend systems in AI-driven art fintech startup. Collaborates closely with engineering and product teams to deliver scalable solutions.
Responsibilities
Own the entire backend architecture from day one—make the critical decisions on frameworks, databases, infrastructure, and patterns
Define technical standards and best practices for code quality, testing, documentation, and deployment
Lead system design for complex problems involving data ingestion, LLM orchestration, and real-time analytics
Mentor and guide future backend engineers as the team grows (you'll likely hire and lead 2-3 backend engineers in your first year)
Evaluate and adopt new technologies that improve velocity, reliability, or capabilities
Build and scale core backend systems to ingest, clean, and serve structured data at scale
Design clean, performant APIs to power our client portal, data tools, and internal services
Integrate and orchestrate LLM APIs (e.g. OpenAI, Claude, open-source models) for use in appraisal automation, data extraction, and insight generation
Architect event-driven systems and asynchronous pipelines (queues, pub/sub) for reliability and scale
Own our infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS)
Co-own technical vision with Head of Engineering: collaborate daily on architecture, technical roadmap, and engineering standards
Partner closely with CPO and product team to shape roadmap based on technical feasibility and effort
Collaborate with data and frontend engineers to define APIs, contracts, and integration patterns
Work with company leadership (Head of Engineering, CPO, President) on technical strategy, hiring, and long-term platform vision
Communicate technical decisions clearly to non-technical stakeholders
Requirements
7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company
B.S. in Computer Science or equivalent
Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale
Expert in Python with deep understanding of performance, concurrency, and design patterns
Strong database expertise (PostgreSQL or similar) including query optimization, schema design, and data modeling
Hands-on experience with LLM/AI integration in production systems—you've shipped features using OpenAI, Anthropic, or open-source models
Deep knowledge of distributed systems including event-driven architectures, message queues, and async patterns (Celery, Kafka, SQS, etc.)
Production experience with AWS (or GCP/Azure) including compute, storage, networking, and managed services
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