AI Engineer
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Job Description
AI Engineer building production AI/ML and LLM systems for Robots and Pencils’ enterprise clients. Developing pipelines, agentic features, RAG workflows, and model evaluations.
Responsibilities:
- Build and ship AI/ML and LLM-powered system features with guidance from senior engineers
- Implement and maintain AI/ML and AI agent pipeline components from data ingestion through model deployment
- Contribute to LLM-powered features including prompts, evaluations, retrieval, and tool integrations
- Handle data preprocessing, feature engineering, and basic evaluation to prepare quality inputs and validate model and prompt performance
- Work closely with engineers across a distributed, cross-functional team
- Document experiments, results, and model decisions
- Participate in code reviews and team discussions
- Take ownership of assigned tasks and deliver them end-to-end
- Share experiment and research learnings with the broader team
- Build and support production-ready AI systems for enterprise operations and client workflows
Requirements:
- 3+ years of professional software engineering experience with hands-on exposure to AI/ML systems and generative AI development
- Solid software engineering foundation, including Python or similar
- Foundational knowledge of AWS, GCP, or Azure; interest in deepening AWS and AWS GenAI expertise
- Exposure to building or contributing to agentic AI systems
- Familiarity with AI frameworks and orchestration tools
- Familiarity with evaluation and observability practices for LLM applications
- Awareness of AI safety, responsible AI principles, prompt injection risks, and PII handling
- Exposure to RAG pipelines, including chunking strategies, embedding models, and vector databases
- Experience building or integrating with internal and third-party APIs
- Awareness of LLM cost considerations, including token economics and caching strategies
- Working knowledge of Docker and exposure to Kubernetes
- Demonstrable day-to-day usage of AI-forward coding tools such as Claude Code and Cursor
- Ability to work effectively in a distributed, cross-functional team
- Ability to take ownership of assigned tasks and deliver end-to-end
- Ability to document experiments, results, and model decisions clearly
- Ability to participate in code reviews and team discussions
Benefits:
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) for eligible employees
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