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Engineering Full-time · Remote / Hybrid

AI Engineer

Build and operationalize applied AI systems that solve real business problems. Work across model integration, retrieval, prompt orchestration, evaluation, deployment, and monitoring.

Role Summary

We are hiring an AI Engineer to build and operationalize applied AI systems that solve real business problems. This role focuses on turning models, prompts, retrieval pipelines, and decision logic into robust product capabilities that users can trust. The ideal candidate combines hands-on engineering skill with good product instincts and is comfortable moving across model integration, prompt orchestration, retrieval, evaluation, deployment, and runtime observability.

What You'll Do

Core Responsibilities

  • Build and deploy AI-powered applications using machine learning, LLM, and retrieval-based patterns.
  • Implement production workflows for prompt orchestration, grounding, tool use, and model integration.
  • Create evaluation harnesses and feedback loops to improve quality, reliability, and safety.
  • Monitor AI system behavior, latency, and cost, and improve performance over time.
  • Integrate AI capabilities into real business workflows and user experiences.

Strategic & Cross-Functional Responsibilities

  • Partner with product, architecture, and domain stakeholders to shape thin-slice AI solutions.
  • Help establish reusable engineering patterns for LLMOps, evaluation, guardrails, and deployment.
  • Translate user needs and workflow friction into product-ready AI features.
  • Contribute to model and prompt versioning, release processes, and operational playbooks.
  • Support governance and responsible AI practices in implementation.

What You Bring

Required Qualifications

  • 3+ years of software, ML, or AI engineering experience including recent work with applied AI systems.
  • Strong Python and API integration skills.
  • Experience building AI features with LLMs, retrieval, or classical ML in production or near-production environments.
  • Familiarity with evaluation, observability, and deployment practices.
  • Ability to ship quickly while maintaining engineering discipline.

Preferred Qualifications

  • Experience with RAG, agent workflows, prompt engineering, or semantic retrieval.
  • Experience with vector databases, embeddings, or search systems.
  • Familiarity with containerized deployment and cloud-native service patterns.
  • Experience with model monitoring, experiment tracking, or LLMOps tooling.
  • Experience in consulting or product delivery settings.

Skills and Capabilities

Technical Skills

Python application development and API integrationLLM workflow design, retrieval, and promptingAI system evaluation and iterationDeployment, monitoring, and operational supportCost, latency, and quality optimization

Domain & Business Skills

Designing AI features around actual user decisionsBalancing innovation with trust and production readinessExplaining technical tradeoffs to stakeholdersBuilding with feedback loops and iterative delivery

Tools, Platforms, and Languages

Python, SQL, APIs, GitLLM and AI development frameworksVector databases, search, and retrieval infrastructureCloud platforms and deployment toolingMonitoring, logging, and evaluation tooling

What Success Looks Like

  • AI features are adopted because they are useful and trustworthy.
  • Evaluation and monitoring catch issues before they become expensive failures.
  • Systems improve over time through structured feedback and iteration.
  • Deployments are repeatable and supportable.
  • AI capabilities become reusable assets across products.

How You'll Collaborate

Internal Partners

AI Architects, Data Engineers, Data Scientists, Product Managers, Strategists

Client Partners

Product owners, business stakeholders, engineering and analytics teams

We are committed to creating an inclusive workplace and providing equal opportunity to all applicants and employees. We welcome candidates from all backgrounds and provide reasonable accommodations throughout the hiring process.