AI Engineer

atRobots & PencilsRemoteUS flagUnited StatesFull-timeAI EngineerMid-levelSenior$105k – $147k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Develop and deploy features for production systems that leverage AI/ML and LLM technologies.

β€’ Implement and oversee components of the AI/ML and AI agent pipeline, spanning data ingestion to model deployment.

β€’ Contribute to features powered by LLM, including prompt creation, evaluations, retrieval mechanisms, and tool integrations.

β€’ Manage data preprocessing, feature engineering, and conduct basic evaluations to assess model and prompt effectiveness.

β€’ Collaborate with engineers in a distributed, cross-functional team environment.

β€’ Document experiments, outcomes, and decisions related to model development.

β€’ Engage in code reviews and participate in team discussions.

β€’ Take full ownership of assigned tasks, ensuring their completion from start to finish.

β€’ Share insights and learnings from experiments and research with the larger team.


⛳️ Requirements

β€’ A minimum of 3 years of professional software engineering experience.

β€’ Practical experience with AI/ML systems and generative AI development.

β€’ Strong software engineering skills in Python or a similar programming language.

β€’ Basic understanding of cloud platforms such as AWS, GCP, or Azure.

β€’ Experience in building or contributing to agentic AI systems.

β€’ Familiarity with AI frameworks and orchestration tools.

β€’ Knowledge of evaluation and observability practices specific to LLM applications.

β€’ Understanding of AI safety, responsible AI principles, prompt injection vulnerabilities, and handling of PII.

β€’ Experience with RAG pipelines, including chunking techniques, embedding models, and vector databases.

β€’ Proven experience in building or integrating with both internal and external APIs.

β€’ Awareness of cost considerations related to LLM, including token economics and caching methods.

β€’ Practical knowledge of Docker and some exposure to Kubernetes.

β€’ Regular use of AI-centric coding tools such as Claude Code and Cursor.


🏝️ Benefits

β€’ Paid time off

β€’ Medical insurance

β€’ Dental insurance

β€’ Vision insurance

β€’ 401(k) plan for eligible employees

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