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AI Engineer - Awesome Motive

Awesome Motive is looking for an AI Engineer responsible for designing, building, and shipping production AI systems used across products powering over 30 million websites, as well as internal tools built on behavioral and operational data.

You will turn messy real-world data and user goals into reliable, actionable outputs—such as generated campaigns, content, plain-English recommendations, and automations that save hours of work.

Responsibilities

  • Design and ship AI features that turn user goals, website data, or metrics into actionable campaigns, content, and recommendations.
  • Build AI-powered internal tools and data-driven systems across the organization, including analytics platforms, reporting automation, and workflow intelligence.
  • Design and construct robust LLM pipelines utilizing prompt design, structured/validated output, RAG, guardrails, and agentic workflows.
  • Clean and analyze messy product and behavioral data, grounding AI outputs in verifiable facts.
  • Build scalable data pipelines to ingest, transform, and serve behavioral and operational data.
  • Implement evaluation and observability frameworks so iterations are measurably improved and failures are caught early.
  • Own the full user path from model output to frontend interface across both backend and client layers.
  • Evaluate and select models, frameworks, and infrastructure, balancing output quality, cost, and latency.
  • Write clean, well-tested, production-grade code with error handling, logging, and observability.
  • Document implementations and share AI workflows and learnings across the team.

Requirements

  • Experience: 3+ years of professional experience building AI/ML systems in production environments with real user adoption (not just POCs or hackathons).
  • Python: Strong proficiency in production Python, including testing, packaging, type hints, and async workflows.
  • Full-Stack Proficiency: Comfort working across both backend (Python or Node services) and modern frontend frameworks (e.g., React).
  • LLM Engineering: Hands-on experience with prompt design, structured outputs, tool calling, guardrails, evaluation, and frameworks like LangChain, LangGraph, or LlamaIndex (ability to build RAG from scratch).
  • Data & Vector Stores: Experience with vector databases (Pinecone, ChromaDB, FAISS, Qdrant) and large-scale data processing (SQL, pandas, Spark).
  • APIs & Cloud: Proven background building/deploying production APIs (FastAPI, Flask) and familiarity with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
  • Tooling & Best Practices: Daily proficiency with AI coding tools (Claude Code, Cursor, Codex), Git/GitHub collaboration workflows, and rigorous troubleshooting skills.
  • Remote Readiness: Previous remote work experience with proactive communication and reliable internet.
  • Availability: Ability to participate in audio/video meetings and maintain Slack availability between 9:00 AM – 1:00 PM EST daily.

Bonus Points

  • Experience building AI features in site builders, landing page tools, or marketing automation software.
  • Experience generating multi-modal layouts, designs, or structured ready-to-publish content.
  • Familiarity with LLM eval and observability tools (Langfuse, DeepEval, RAGAS).
  • Hands-on experience with multi-agent systems (CrewAI, AutoGen, LangGraph) or Model Context Protocol (MCP).
  • Experience with fine-tuning (PEFT, LoRA, QLoRA) and quantization.
  • Background in MLOps (MLflow, Weights & Biases) or platforms like Databricks and SageMaker.
  • Knowledge of the WordPress ecosystem, PHP, or SaaS product development.

Benefits

  • Competitive salary.
  • Health, dental, and vision insurance for full-time US employees (health coverage available in select international locations).
  • Life and AD&D insurance.
  • Flexible PTO policy after 90 days and localized public holidays.
  • Paid parental leave.
  • Software, course, and book reimbursements for ongoing professional growth.
  • Fully covered travel for annual all-company retreats and mini-team meetups.
  • Annual technology stipend and welcome gift package.

Timezone overlap

UTC-5–-4

Culture

Async-friendly

Open to

Worldwide

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