> Markdown version of [/jobs/ext/3023279-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3023279-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Factored, Inc. - **Location:** Palo Alto, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Databases, Continuous Integration, DevOps, Django Web Framework, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, Data Logging, Spring Cloud, Pytorch, Flask (Web Framework), Large Language Models, Grafana, Deep Learning, Generative AI, Backend, Fastapi, Git Flow, Kubernetes, HuggingFace, BIG-IP Access Policy Manager (APM), Api Design, Terraform, Automation Anywhere, Docker - **Published:** September 21, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/plrdcwgoq4 ## About the Role * 5+ years of professional experience as a Software Engineer or in a related role, with a strong foundation in Python. * Hands-on experience or strong interest in Generative AI frameworks such as LangGraph, LangChain, OpenAI, and RAG implementations. * Experience with cloud platforms like AWS, including building, deploying, and managing cloud-native applications; exposure to Azure or GCP is also valuable. * Experience designing and developing APIs using frameworks like FastAPI, Django, or Flask; willingness to learn best practices for scalable production systems is appreciated. * Strong system design and problem-solving skills, including building, testing, and optimizing backend systems or AI workflows. * Practical experience with databases (PostgreSQL or NoSQL), and vector databases for RAG workflows. * Proficiency with DevOps and CI/CD tools such as Docker, Kubernetes, Terraform, and Git-based workflows. * Understanding of deep learning model development and deployment, with familiarity using frameworks like PyTorch or HuggingFace; motivated learners are welcome. * Excellent English communication skills, both written and spoken, with the ability to collaborate effectively with global teams and explain complex AI concepts clearly. * Comfortable translating between technical and business perspectives and managing ambiguous requirements. * A growth mindset and genuine interest in learning and applying new AI/ML techniques to real-world challenges. ## Description * Architect, design, and implement backend systems that integrate with LLMs, and ensure services are scalable, secure, and production-ready * Implement agentic architectures for complex AI workflows. * Build, deploy, and manage cloud-native AI applications on AWS (Lambda, ECS, SageMaker) and other modern infrastructure. * Fine-tune prompts and build RAG pipelines to optimize performance. * Implement AI security guardrails and conduct risk assessments to ensure compliance, privacy, and safety. * Monitor application health with observability tools (APM, logging, LLM performance metrics) and proactively resolve performance issues. * Collaborate with ML Engineers, product managers, and cross-functional teams to understand requirements and deliver AI features that drive measurable value. * Communicate technical architecture and trade-offs clearly to stakeholders at all levels. * Contribute to raising engineering standards through code review and knowledge sharing. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)