AI Engineer – L4
Gugu Robotics
full-time
Posted on:
Location Type: Remote
Location: Canada
Visit company websiteExplore more
Tech Stack
About the role
- 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
- 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
- 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
- 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
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRAG pipelinesprompt engineeringhallucination detectionembedding-based searchLLM evaluation frameworkssemantic searchproduction AI systemsdata-driven systemsfact-checking mechanisms
Soft Skills
communicationcollaborationownershipadaptabilityproblem-solvingiterationuser feedback integrationcross-functional teamworkambiguity managementstakeholder engagement
Certifications
Bachelor's degree in computer scienceBachelor's degree in EngineeringBachelor's degree in Data ScienceMaster's degreePhD