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About the Role
Lead the design and delivery of AI/ML systems, acting as a key technical leader on a cross-functional team. Define AI architecture, lead model development and optimization, and solve challenging integration problems in a fast-paced environment where reliability, security, and scalability are critical.
Responsibilities
- Design and build agentic workflows, including reasoning loops, tool/function calling, and orchestration across single- and multi-agent architectures.
- Build and maintain RAG pipelines, including chunking strategy, embeddings, vector search, re-ranking, and staleness/refresh handling.
- Integrate with AWS Bedrock and Agent Core, including MCP-based tool design.
- Write and iterate on production system prompts with structure, role framing, and output constraints.
- Build evaluation and observability into every agent, including golden datasets, RAGAS-style metrics, LLM-as-judge, and tracing.
- Design for LLM failure scenarios, incorporating retries, circuit breakers, and fallback models.
- Build backend services in Python and Node.js, including serverless architectures.
- Design DynamoDB single-table schemas for conversation state, agent memory, and session history.
- Support event-driven orchestration for asynchronous agent operations.
- Contribute to frontend integration points for agentic features.
- Support deployment, monitoring, and production troubleshooting in cloud-native environments.
- Bring informed technical judgment to architecture discussions, identifying trade-offs.
- Partner with product, design, and delivery leads to scope and ship features.
- Mentor other engineers and raise the bar on agentic engineering practices.
- Own assigned features and releases end-to-end, including debugging and hardening.
Requirements
- 6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production.
- Real, hands-on depth in agentic AI: reasoning loops, tool/function calling, multi-agent orchestration, and a considered point of view on design choices.
- Practical RAG expertise: chunking strategies, embeddings, vector databases, cosine similarity search, and re-ranking.
- Experience building evaluation and observability for LLM systems: golden datasets, LLM-as-judge, RAGAS or comparable metrics, and tracing tools.
- Strong prompt engineering skills with the ability to write production system prompts with structure and constraints.
- Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB, S3, SQS, EventBridge, Step Functions.
- Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs.
- Solid understanding of production reliability patterns for LLM-backed systems: retries/backoff, circuit breakers, fallback models.
- Experience with containerization (Docker) and cloud-native deployment.
- Comfort owning ambiguous, integration-heavy problems and the ability to go a level deeper when challenged.
- Legally authorized to work in Canada and eligible to secure immediate U.S. non-immigrant work authorization for mandatory weekly on-site client delivery (3 days/week) in the United States.
Skills
- AI/ML systems design
- Agentic AI
- GenAI
- LLM systems
- RAG pipelines
- OpenSearch
- AWS Bedrock
- AWS Agent Core
- Prompt engineering
- Evaluation and observability
- LangFuse
- LangSmith
- Python
- Node.js
- Serverless architectures
- AWS Lambda
- API Gateway
- DynamoDB
- Step Functions
- SQS
- EventBridge
- Docker
- Cloud-native deployment
- Amazon Bedrock Agent Core
- MCP tool wiring
- Memory/session management
- Gateway provisioning
- Workflow orchestration tools
- State-machine-based systems
Location
- United States
Work Type
- Hybrid
- Full-time
Experience Level
- Staff
- 6+ years
Salary/Compensations
- $165,604 - $228,491 USD
Benefits
- Paid time off
- Medical/dental/vision insurance
- 401(k)
About the Company
- At Robots & Pencils, we design AI systems for a human world, pairing engineering with creativity.
- Our mission is to shape how AI systems integrate into enterprise operations, enable teams to move at real velocity, and create measurable impact for clients and the people they serve.
- We ship production-ready AI in 30 to 45 days, requiring ownership, craft, and a commitment to quality.
Equal Opportunity
- 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.