AI Engineer – L4 at Robots and Pencils

Calgary, Alberta, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, LLM Applications, RAG Pipelines, Prompt Engineering, Hallucination Detection, Python, Vector Databases, LLM Evaluation Frameworks, Embeddings, Semantic Search, Collaboration, Monitoring, Observability, Backend Services, Enterprise Software, Data-Driven Systems

Industry

IT Services and IT Consulting

Description

At Robots & Pencils, we build meaningful, scalable digital products by blending strategy, design, and engineering. We are seeking a Level 4 AI Engineer to build production LLM applications for an enterprise client as part of a long-term, delivery-focused engagement. You will own the AI stack end-to-end, including RAG pipelines, prompt engineering, and evaluation frameworks. This is a hands-on role: you will write production code, tune prompts, build evaluation and observability systems, and iterate based on real user feedback. There is a working proof of concept in place. Your responsibility is to make it production-ready and extend it with intelligent, reliable features that operate at enterprise scale. What You’ll Do AI & LLM Application Delivery · Build, optimize, and evolve RAG pipelines, including retrieval strategies, chunking, and re-ranking · Develop prompts and guardrails for domain-specific LLM applications · Implement hallucination detection, mitigation, and fact-checking mechanisms · Build embeddings-based search and recommendation features · Validate AI features with real users and iterate based on qualitative and quantitative feedback Evaluation, Monitoring & Reliability · Set up and maintain LLM evaluation frameworks to measure quality, relevance, and reliability · Implement observability and monitoring for production AI systems · Monitor live AI systems and resolve quality, accuracy, and performance issues · Continuously improve AI outputs based on evaluation data and user behavior Platform & System Integration · Work closely with product and engineering teams to integrate AI into user-facing features · Build and maintain backend services in Python · Integrate with vector databases to support retrieval and semantic search workflows · Ensure AI solutions meet enterprise requirements for security, scalability, and maintainability Delivery & Collaboration · Collaborate with cross-functional partners across product, engineering, and design · Operate effectively in environments with evolving requirements and ambiguity · Communicate clearly with technical and non-technical stakeholders · Take ownership of delivery outcomes from experimentation through production Required Skills & Experience · 8+ years of professional software engineering experience, with 4+ years focused on applied AI/ML or data-driven systems in production environments · 3+ years building and operating production AI systems · Strong hands-on experience with LLM applications, including RAG, prompt engineering, and evaluation · Experience implementing hallucination detection and mitigation techniques · Proficiency in Python · Experience working with vector databases (Weaviate, Pinecone, or similar) · Experience with LLM evaluation frameworks (Langfuse, Weights & Biases, or custom solutions) · Production experience using Claude and/or GPT APIs · Strong understanding of embeddings and semantic search · Comfortable working with ambiguity and iterating on unclear problems · Bachelor's degree in computer science, Engineering, Data Science, or a related technical field, or equivalent practical experience · Advanced degree (Master’s or PhD) in a relevant field Nice to Have · Experience with Azure AI services, including Azure OpenAI and Cognitive Services · Experience with document processing (PDF extraction, OCR) · Exposure to audio or speech processing (e.g., Whisper or similar tools) · Experience building enterprise B2B software · Experience with ML classification and model training Tech Stack · LLMs: Claude (Anthropic), Azure OpenAI · Vector Database: Weaviate · Backend: Python · Infrastructure: Azure · Evaluation & Observability: Langfuse or similar How You Work · You are hands-on and delivery-focused, writing code and owning outcomes · You balance speed with quality in production environments · You communicate clearly and collaborate effectively across disciplines · You take ownership of ambiguous problems and drive them to resolution · You prioritize reliability, maintainability, and real-world impact Why Robots & Pencils · Real production impact not a POC that sits on a shelf · Exposure to the full AI lifecycle: RAG, LLM applications, evaluation, classification, and monitoring · End-to-end ownership of the AI stack and technical decision-making · A small, senior team with direct access to enterprise clients

Responsibilities

You will build production LLM applications and own the AI stack end-to-end, including RAG pipelines and prompt engineering. Your role involves making a working proof of concept production-ready and extending it with intelligent features.