Senior AI Developer

F5 Remote Jobs; United States; Remote; USD 140,000 - 188,000; Full time

Job summary

Robots and Pencils is seeking a Senior AI Developer to design, build, and deliver production AI/ML systems. You’ll own features end-to-end, influence architecture, and bring strong technical judgment to challenging problems.

You’ll work on a cross-functional team, designing models, building data pipelines, training workflows, and deploying reliable, scalable AI solutions. You’ll collaborate with experienced engineers to shape how AI scales in enterprise environments.

Qualifications

• 4+ years professional software engineering experience, with 2+ years AI/ML in production.
• Hands-on experience with generative AI development.
• Strong Python or similar language background.
• Experience with cloud platforms, especially AWS GenAI offerings.
• Design and ship agentic AI systems.
• Experience with AI frameworks and orchestration tools.
• Observability and evaluation frameworks for LLM apps.
• Understanding of AI safety and responsible AI principles.
• Hands-on building RAG pipelines and vector databases.
• API development and integration skills.

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 daily work, using tools like Claude Code 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

AI/ML in production

Generative AI

Python

AWS GenAI

Docker

Kubernetes

RAG pipelines

LLM tooling

Code reviews

Tools

Docker

Kubernetes

Claude Code

Cursor

AWS GenAI

Vector databases

Job description

Job Details

• Company: Robots and Pencils
• Position: Senior AI Developer
• Location: United States

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.

Salary Range - $ 139,750 - 188,125 USD