Note: The job is a remote job and is open to candidates in USA. Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. They are seeking a Senior AI Engineer to design, build, and deliver production AI/ML systems, contributing to architectural decisions and enhancing existing systems.
Responsibilities
- Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization for performance, accuracy, and efficiency
- Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability
- Bring an AI-forward coding mindset to your daily work, using tools like Claude and Cursor to ship higher-quality work at pace
- Partner closely with product, engineering, and data teams to align AI work with broader product and business goals
- Translate technical tradeoffs, model behavior, and constraints into terms non-specialists can act on
- Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback
- Contribute to AI architecture decisions with thoughtful perspective on tradeoffs and long-term implications
- Take ownership of meaningful work end-to-end, including the unglamorous parts of getting AI into production
- Raise the bar on engineering practices through your own work and by supporting more junior engineers when opportunities arise
Skills
- 4+ years professional software engineering experience, with 2+ years focused on AI/ML systems in production and hands-on experience with generative AI development
- Strong software engineering background (Python or similar)
- Working knowledge of cloud platforms, preferably with in-depth understanding of AWS services and AWS GenAI offerings
- Proven ability to design and ship agentic systems
- Experience with AI frameworks and orchestration tools
- Experience with evaluation frameworks, and observability tools for LLM apps
- Understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
- Hands-on experience building RAG pipelines: chunking strategies, embedding models, vector databases
- API development experience, including designing and integrating with internal and third-party services
- Cost optimization expertise: token economics, caching strategies, model routing, quantization
- Working knowledge of Docker and Kubernetes for containerized deployments
- Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor
- Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment
Company Overview
Company H1B Sponsorship