AI Product Engineer (Backend/LLM)

Filevine
Prague, Bratislava
Workplace: HybridContractFunction: Data Science & Machine LearningSkills: ["Communication","Team spirit","Independent problem-solving"]

Build and own production systems that power reliable, secure, measurable, and maintainable AI-powered customer experiences. Work with machine learning engineers to turn AI capabilities into dependable product features, integrating LLMs via services, APIs, data pipelines, and workflows. Take technical designs from prototype to rollout, define quality and monitoring metrics (tracing/feedback loops), and make pragmatic tradeoffs across quality, reliability, latency, user experience, complexity, and cost.

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FursaFursa
Filevine
Filevine
4 days ago

AI Product Engineer (Backend/LLM)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and own production systems that power reliable, secure, measurable, and maintainable AI-powered customer experiences. Work with machine learning engineers to turn AI capabilities into dependable product features, integrating LLMs via services, APIs, data pipelines, and workflows. Take technical designs from prototype to rollout, define quality and monitoring metrics (tracing/feedback loops), and make pragmatic tradeoffs across quality, reliability, latency, user experience, complexity, and cost.
Location: Prague, Bratislava
Workplace: Hybrid
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own production systems and workflows that make AI-powered customer experiences reliable, secure, measurable, and maintainable.
  • •Design and implement services, APIs, data pipelines, and workflows that integrate LLMs and other machine-learning capabilities into Filevine products.
  • •Turn prototypes into production systems with appropriate reliability, scalability, security, latency, and cost.
  • •Implement retrieval and grounding, structured generation, tool use, human review, and graceful fallbacks.
  • •Establish quality metrics, tracing, monitoring, and feedback loops for AI-powered features while collaborating with ML engineers, software engineers, product, and domain experts.

Key Requirements

  • •At least 5 years of professional software-engineering experience with 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.
  • •Experience with production LLM systems, including retrieval, context management, structured outputs, tool calling, evaluations, guardrails, and failure modes.
  • •Ability to work in a Python-first environment and deploy/operate cloud services (including AWS).
Skills:CommunicationTeam spiritIndependent problem-solving
Languages:English
Tech Stack:PythonTypeScriptTemporalKubernetesAWSLLMRetrievalStructured outputsTool callingEvaluationsGuardrailsAsynchronous workflowsData-processing pipelinesEvent-driven systems

Company Brief

Filevine
Provides cloud-based legal case management and practice management software for law firms and legal departments, offering document management, communication, reporting, and workflow automation to streamline case handling and client collaboration.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Salt Lake City, United States
Founded: 2014
WebsiteLinkedIn