AI Engineer – L3 at Robots and Pencils
Worldwide
<p> </p> <p>At Robots & Pencils, we build meaningful, scalable digital products by blending strategy, design, and engineering.</p> <p>We’re looking for an AI Engineer (Level 3) to help build production-ready LLM-powered applications for enterprise clients. You will work hands-on with senior engineers and product teams to implement and scale intelligent systems including RAG pipelines, prompt engineering workflows, document intelligence systems, and evaluation frameworks.</p> <p>This role focuses on turning working AI concepts into reliable, production-grade systems that deliver real-world impact.</p> <p>By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000.</p> <p> </p> <p><strong>What You’ll Do</strong></p> <p>Core AI Pipeline Development</p> <p>• Build and optimize Retrieval Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, retrieval, and ranking • Develop document intelligence pipelines for large-scale PDF ingestion, semantic chunking, and structured data extraction</p> <p>• Implement embeddings-based semantic search and knowledge retrieval capabilities • Design multi-stage LLM workflows where document extraction feeds downstream aggregation or analysis • Develop prompts, guardrails, and structured outputs for domain-specific LLM applications • Implement hallucination mitigation and response validation mechanisms for production systems</p> <p>Evaluation & Observability</p> <p>• Support implementation of evaluation frameworks to measure LLM quality, accuracy, and relevance • Build monitoring pipelines for AI system performance and reliability • Analyze evaluation data to refine prompts, retrieval strategies, and system outputs • Debug production AI workflows and continuously improve system behavior</p> <p>Platform & Backend Integration</p> <p>• Develop backend services in Python supporting AI workflows and application integration • Integrate vector databases to support semantic search and retrieval • Connect AI systems with external APIs and enterprise data sources • Support scalable and secure deployment of AI features aligned with enterprise architecture</p> <p>Product Integration & Iteration</p> <p>• Work closely with product managers, designers, and engineers in cross-functional teams • Integrate AI capabilities into user-facing product experiences • Test AI features with users and iterate based on feedback and performance data • Contribute to agile delivery environments with evolving product requirements</p> <p> </p> <p><strong>Required Skills & Experience</strong></p> <p>• 4+ years of professional software engineering experience </p> <p>• 1–3 years working with applied AI/ML or LLM-powered applications</p> <p>• Strong experience building backend services using Python</p> <p>• Experience implementing RAG workflows, prompt engineering, or LLM integrations</p> <p>• Familiarity with embeddings, semantic search, or vector databases</p> <p>• Experience integrating APIs or cloud services into production applications</p> <p>• Understanding of software engineering best practices, testing, and observability</p> <p>• Ability to work effectively in fast-moving or ambiguous environments</p> <p>• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience</p> <p> </p> <p><strong>Nice to Have</strong></p> <p>• Experience with Azure AI services or OpenAI APIs</p> <p>• Experience with document processing pipelines (PDF extraction, OCR)</p> <p>• Experience working with cloud platforms (Azure or AWS) Familiarity with LLM evaluation or monitoring tools such as Langfuse</p> <p>• Experience contributing to enterprise or B2B software products</p> <p> </p> <p>Tech Stack</p> <p>LLMs: Claude (Anthropic), Azure OpenAI Backend: Python Vector Databases: Weaviate or similar Infrastructure: Azure or AWS Evaluation & Observability: Langfuse or similar tooling</p> <p> </p> <p><strong>How You Work</strong></p> <p>Hands-on builder focused on delivering production AI systems • Curious about emerging AI technologies and continuously improving your craft • Comfortable balancing experimentation with reliability • Communicates clearly with cross-functional teams • Thrives in evolving technical environments</p> <p> </p> <p><strong>Why Robots & Pencils</strong></p> <p>Work on production AI systems delivering measurable client impact • Collaborate with experienced engineers across the full AI lifecycle • Exposure to modern GenAI delivery practices: RAG, evaluation, observability • Work within a globally recognized AWS partner ecosystem</p> <p> </p>
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