Senior AI Engineer

Robots & Pencils; United States; Remote; USD 140,000 - 188,000; Full time

Job summary

Robots & Pencils is seeking a Senior AI Engineer to design, build, and deliver production-grade AI/ML systems. You will own features end-to-end, shape architecture, and guide implementation with strong technical judgment.

You’ll collaborate with cross-functional teams to design models, build data pipelines, and deploy reliable, scalable AI solutions in production, balancing performance with safety and maintainability.

Qualifications

• 4+ years of professional software engineering, with 2+ years in AI/ML in production.
• Strong Python or similar language background.
• Experience with AWS and GenAI offerings.
• Ability to design and ship agentic AI systems.
• Familiarity with AI frameworks and orchestration tools.
• Experience with RAG pipelines and embedding models.
• Understanding of AI safety and responsible AI principles.

Responsibilities

• Design, implement, and deploy ML/AI models end-to-end with data pipelines and training workflows.
• Monitor production AI systems for drift and reliability.
• Collaborate with product, engineering, and data teams to align AI work with goals.
• Participate in code reviews and design discussions.
• Lead AI architecture decisions and own end-to-end delivery.
• Help junior engineers and raise engineering standards.

Skills

4+ years software engineering

AI/ML in production

Python

AWS cloud

GenAI offerings

Agentic systems

AI frameworks

LLM observability

AI safety & responsible AI

RAG pipelines

Docker

Kubernetes

Claude Code

Cursor

API development

Code reviews

Ownership

Problem solving

Tools

Docker

Kubernetes

Claude Code

Cursor

Job description

We’re looking for a Senior AI Engineer to design, build, and deliver production AI/ML systems. This role is ideal for an engineer with several years of experience who can confidently own features end-to-end, contribute to architectural decisions, and bring strong technical judgment to the problems they take on.

In this role, you will work as a key contributor on a cross-functional team, designing and implementing models, building the data pipelines and training workflows around them, and deploying systems to production environments. You’ll be joining real, in-flight work where reliability, performance, and scalability matter. You’ll collaborate with experienced engineers to enhance existing systems, deliver new capabilities, and contribute to the technical decisions that shape how our AI work scales over time.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do

Craft & Delivery

• - 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

Collaboration & Communication

• - 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

Leadership & Influence

• - 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

What You’ll Bring

• - 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

Helpful Extras and Unique Skills

You’ll Do Well Here if You Are

• - A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
• - A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
• - Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
• - Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
• - Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
• - All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
• - Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
• - Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $139,750-$188,125 USD. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.