ALBUM

Own AI-powered features from technical design and implementation through rollout, monitoring, and maintenance

Design services, APIs, data pipelines, and workflows that integrate LLMs and other machine-learning capabilities into Filevine products

Turn prototypes into production systems weith appropriate reliability, scalability, security, latency, and cost

Implement patterns such as retrieval and grounding, structured generation, tool use, human review, and graceful fallbacks

Establish quality metrics, tracing, monitoring, and feedback loops for AI-powered features

Collaborate with ML Engineers, Software Engineers, Product, and domain experts to turn customer problems into practical solutions

Make pragmatic technical decisions and communicate their context and tradeoffs clearly

At least 5 years of professional software-engineering experience, including end-to-end ownership of production systems

Experience designing, delivering, and operating AI-powered product functionality in production

Strong software-engineering foundations, including API design, data modeling, distributed systems, testing, and failure handling

Strong experience with Python or a comparable language and the ability to work in a Python-first environment

Practical understanding of production LLM systems, including retrieval, context management, structured outputs, tool calling, evaluations, guardrails, and common failure modes

Experience with asynchronous workflows, data-processing pipelines, background jobs, or event-driven systems

Experience deploying and operating cloud services; our stack includes Python, TypeScript, Temporal, Kubernetes, and AWS

Ability to evaluate tradeoffs among quality, reliability, latency, user experience, complexity, and cost

Good communication and writing skills in English, team spirit, and an independent problem-solving mindset

Ability to meet periodically in our Prague or Bratislava office, as we value in-person collaboration