Senior Applied AI Engineer

Responsibilities

• Build and ship internal AI tools and features end to end from idea to deployment
• Set technical direction and reusable patterns for the AI Engineering team
• Design and deploy LLM and agentic systems including retrieval, tool use, and orchestration
• Partner with engineering, hardware, and operations teams to build working tools
• Create shared components, templates, and infrastructure to accelerate other teams
• Optimize models for cost, latency, and reliability
• Mentor teammates and model strong engineering practices including documentation and testing

Requirements

• Deep software engineering expertise with a strong track record in Python
• Substantial experience building LLM-powered applications (RAG, prompt/agent design, tool calling)
• Proven experience with agentic systems and agentic coding workflows
• Ability to design systems across backend services, APIs, and light front-end
• High autonomy and ability to thrive in ambiguous environments
• Demonstrated record of shipping impactful software

Preferred Qualifications

• Experience with LLMOps/MLOps, model serving, and monitoring
• Proficiency in data and ML engineering (pipelines, embeddings, vector databases)
• Experience with deep-learning frameworks like PyTorch
• Front-end skills using React or TypeScript
• Experience with Kubernetes, Docker, and CI/CD tooling
• Exposure to scientific, hardware, or lab-automation environments

About the Company

QuEra is building a new AI Engineering team to help every group in the company put AI to work, turning high-value ideas into deployable tools and agent-powered software.