Staff Engineer / AI Builder - Mountain View
Robots and Pencils · Mountain View
Posted by Robots and Pencils on their careers site · View the original posting
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Mid level
Open 5 days
The posting, as Robots and Pencils wrote it
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.
In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You’ll be joining real, in-flight work where reliability, security, and scalability are critical. You’ll establish engineering standards, raise the bar on how we build AI systems, 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
Agentic & GenAI Engineering
- Design and build agentic workflows — reasoning loops, tool/function calling, and orchestration across single- and multi-agent architectures — with clear judgment on which pattern fits the problem and which doesn't
- Build and maintain RAG pipelines : chunking strategy, embeddings, vector search (OpenSearch), re-ranking, and staleness/refresh handling for dynamic knowledge sources
- Integrate with AWS Bedrock and Agent Core , including MCP-based tool design — writing tool descriptions precise enough that an orchestrator routes correctly every time
- Write and iterate on production system prompts — structured role framing, output constraints, and few-shot design — not just prompt tinkering
- Build eval and observability into every agent you ship : golden datasets, RAGAS-style metrics, LLM-as-judge (as both a runtime guardrail and an offline eval), and tracing via LangFuse/LangSmith or equivalent
- Design for LLM failure, not just LLM success : retries with backoff and jitter, circuit breakers, fallback models, and a clear user-facing story when something upstream degrades
Full-Stack & Platform Engineering
- Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
- Design DynamoDB single-table schemas — composite keys, transactional writes — for conversation state, agent memory, and session history
- Support event-driven orchestration (Step Functions, SQS, EventBridge) for asynchronous agent operations, with an eye
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on your answer instead of staying abstract
Helpful Extras and Unique Skills
- Direct experience with Amazon Bedrock Agent Core — agent registration, MCP tool wiring, memory/session management, gateway provisioning
- Experience in a regulated or high-stakes domain (education, healthcare, financial services) where evaluation rigor and reliability carry real consequences
- Familiarity with workflow orchestration tools such as Step Functions, Sequencer, or similar state-machine-based systems
- A point of view on LLM observability tooling, gained from actually running it in production rather than reading about it
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 $ $165,604 - $228,491 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.