Full Stack Developer(LLM/LLM Ops)

Full Stack Developer(LLM/LLM Ops) - Remote/Canada/UAE

Position Title: Full Stack Developer(LLM/LLM Ops) - Remote/Canada/UAE

Location: Canada preferred, also possible in UAE or fully Remote

Experience: 2–4 years

Company: SuperQ Quantum Computing Inc.

About the Role:

SuperQ is looking for a Full Stack Engineer with expertise in AI and LLM-driven development to drive expansion of our multi-agent architecture within the Super Platform. You will help build new industry-specific modules (healthcare, manufacturing, logistics, finance) leveraging LLM orchestration and integrate them into our hybrid compute platform.

Responsibilities:

• Design, develop and deploy AI-driven multi-agent modules (for example Feasibility Agent, Code Generation Agent, Visualization Agent) within the Super Platform.
• Integrate LLMs (from providers such as OpenAI GPT, Anthropic, NVIDIA NIM, AWS Bedrock, Hugging Face) and build orchestration pipelines: prompt management, model routing, caching, evaluation, feedback loops.
• Build backend services/APIs for LLM inference, RAG (retrieval-augmented generation) workflows, vector database integration (e.g., FAISS, Pinecone, AstraDB).
• Collaborate with UI/UX and platform teams to create end-to-end modules: front-end UI, backend services, orchestration layer, data storage.
• Develop industry-specific solutions: define problem statements, build workflow modules, integrate domain data and knowledge-bases, deliver working POC and production modules.
• Ensure scalability, latency optimisation, monitoring and logging of AI/agent services, deploy into containerised environments (Docker/Kubernetes) where appropriate.
• Maintain code quality, CI/CD pipelines, unit and integration testing specific to AI services, ensure security and data-governance compliance.

Requirements:

• 2–4 years of experience in AI engineering or full stack software development with a focus on LLMs or similar.
• Strong programming skills in Python and JavaScript/TypeScript; experience with , front-end frameworks such as
• Hands-on experience with LLMs and AI frameworks: prompt engineering, RAG pipelines, embeddings, vector database integration.
• Familiarity with vector stores (e.g., FAISS, Pinecone, AstraDB) and knowledge of embedding workflows.
• Experience building microservices or full-stack applications with backend & frontend components, REST/GraphQL APIs.
• Understanding of containerisation and deployment (Docker, Kubernetes) is a plus.
• Ability to work cross-functionally with platform, UI/UX, domain teams and deliver industry-specific modules.
• Bonus: experience with LLM operations (LLM Ops), model evaluation and fairness/bias monitoring, domain experience (healthcare, manufacturing, logistics, finance).

Work Culture:

• Startup-scale agility within a mission-driven organisation: you'll have impact and shape the direction of the platform.
• Multi-disciplinary collaboration: you'll work with quantum engineers, UI developers, domain experts – bridging tech and business.
• Strong focus on autonomy, responsibility and ownership: you'll own modules end-to-end, from conception through production and maintenance.
• Culture of continuous learning: we encourage curiosity in new models, LLM architectures, AI trends, and provide time to experiment and publish/share.
• Balanced remote-first mindset: flexible working hours, asynchronous collaboration but also moments of in-person/virtual team building.

Skills Required:

Full-Stack Development, AI & Machine Learning, Large Language Models (LLMs), Prompt Engineering, RAG & Vector Databases, Python & JavaScript, API & Microservices Architecture, Docker & Kubernetes (DevOps), Cloud & Scalability Engineering, Cross-Functional Collaboration

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Job Type: Full-time

Pay: Up to $100,000.00 per year

Work Location: Remote