Robots and Pencils · US Remote
Forward Deployed Engineer
STAFF FORWARD DEPLOYED AI ENGINEER We're looking for a Staff Forward Deployed AI Engineer to lead the design, delivery, and adoption of AI/ML systems directly ...
STAFF FORWARD DEPLOYED AI ENGINEER
We're looking for a Staff Forward Deployed AI Engineer to lead the design, delivery, and adoption of AI/ML systems directly within
client environments. This role is ideal for an experienced engineer who thrives on architectural decisions, can own systems
end-to-end, and drives real outcomes at the intersection of technical depth and client partnership.
In this role, you will embed with clients as a key technical leader, defining AI architecture, leading model development and
optimization, and solving challenging integration problems in live enterprise environments. You'll parachute into in-flight work
where reliability, security, and scalability are critical — and you'll be the person who makes it land. You'll raise the bar on
how we build and deploy AI systems and help clients actually adopt and scale what we ship.
#
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
- Lead the design and implementation of complex ML/AI systems end-to-end within client environments, owning architecture
decisions and driving solutions from research through production at scale
- Build, deploy, and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model
development and deployment — often within existing client constraints
- Diagnose and unblock integration challenges in live systems, adapting quickly to unfamiliar codebases, cloud environments, and
organizational contexts
- Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping both our team
and client teams adopt them effectively
Collaboration & Client Partnership
- Embed directly with client teams, earning trust quickly and translating their business problems into AI system designs that
actually work in their environment
- Partner with product, engineering, and leadership — ours and the client's — to align technical direction with business outcomes
- Translate complex AI tradeoffs, risks, and opportunities into clear narratives for technical and non-technical stakeholders
- Lead design reviews and technical discussions, raising the bar for engineering rigor across both R&P and client teams
Leadership & Influence
- Define AI architecture and engineering standards for each engagement, bringing depth on tradeoffs, long-term implications, and
responsible AI practices
- Drive client adoption of AI systems post-delivery — identifying gaps in understanding, building enablement materials, and
upskilling client engineers where needed
- Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems
- Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for
reliability, cost, and safety
What You'll Bring
- 7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on
experience with generative AI development
- Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems
- Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings
- Proven track record designing and shipping complex agentic systems in production environments, including within client or
enterprise constraints
- Mastery of AI frameworks and orchestration tools
- Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where
they don't yet exist
- Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
- Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval
techniques
- API design experience, including architecting and integrating with internal and third-party services at scale
- Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
- Strong working knowledge of Docker and Kubernetes for containerized deployments
- Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor
- Comfort operating in ambiguous, fast-moving client environments — adapting quickly, communicating clearly, and earning trust at
the engineering level
Our salary range is $177,375 – $209,625 USD
Roll
Forward Deployed Engineer
Kategori
Other
Plats
Publicerad
29 juli
Sista ansökningsdag
29 augusti
Källa