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# Backend Engineer (Python, API)

- **Company:** SUNDAE, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $250,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Software Engineering, Backend, Fastapi, Data Lakes, Kubernetes, Information Technology, HuggingFace, Apache Kafka, Data Management, GPT, Docker
- **Published:** August 30, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pg2m09tt2f

## About the Role

* 10+ years of professional experience in software engineering, with significant focus on data, machine learning, or backend systems
 * Proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
 * Hands-on experience with deployment and infrastructure technologies including Docker, FastAPI, Kubernetes, and cloud platforms like GCP and AWS
 * Expertise in platform orchestration, workflow libraries, pub/sub systems (e.g., Kafka), and schema governance
 * Strong knowledge of data management, governance, and operations including Unity Catalog, ETL pipelines, Delta Lake, and data quality enforcement
 * Excellent system design skills, with the ability to translate business needs into scalable technical solutions
 * Experience working with messy data and ambiguous requirements to build usable systems
 * Exceptional communication skills, capable of leading client discussions and collaborating with diverse stakeholders
 * Proven track record of owning projects from scoping through deployment in complex, high-stakes environments
 * Willingness to be on-call and respond to client needs as required
 * Ability to travel approximately 25-50%, sometimes on short notice
 * Bachelor's degree in Data Science, Computer Science, or related fields, or equivalent professional experience

## Description

We are seeking a Principal Forward Deployed Engineer (FDE) to join our team at Invisible. In this role, you will lead the development and deployment of high-impact, AI-powered solutions that fundamentally transform our clients' critical workflows. Your responsibilities will include not only building and deploying solutions but also shaping the strategy, architecture, and execution of end-to-end systems in collaboration with clients. This role offers a hybrid work environment, combining hands-on engineering, system design, and technical consulting, making it ideal for someone passionate about working directly with models and witnessing the tangible impact of their work.

The Principal FDE will partner closely with delivery teams and executive stakeholders to scope projects, identify transformational opportunities, and translate ambiguous workflows into scalable, repeatable systems. You will lead architecture discussions, balancing performance, scalability, cost, and reliability considerations. From initial discovery to full deployment, you will own projects, coordinate internal teams, and manage client-facing deliverables. Additionally, you will contribute to building shared infrastructure, reusable components, and internal best practices to elevate team capabilities. Mentoring mid-level engineers and fostering a culture of innovation and excellence are also key aspects of this role.

This position involves frequent travel-approximately 25-50%-primarily across North America, with occasional international assignments, to work directly on-site with clients. Candidates should be comfortable in high-stakes, ambiguous environments and possess a strong engineering foundation with excellent communication skills to liaise effectively with both technical and non-technical stakeholders., * Partner with delivery teams and executive stakeholders to define project scope and design AI-driven solutions

 * Identify opportunities to transform complex, ambiguous workflows into automated, repeatable systems
 * Lead architecture design discussions, evaluating trade-offs related to performance, scalability, cost, and reliability
 * Manage projects from initial discovery through full deployment, ensuring seamless client delivery and internal coordination
 * Develop shared infrastructure, reusable components, and internal playbooks to enhance team productivity
 * Mentor and coach mid-level engineers, fostering a culture of continuous learning and innovation
 * Engage directly with clients, understanding their needs and translating them into technical solutions
 * Ensure system robustness, scalability, and performance through rigorous testing and iteration
 * Maintain readiness to support clients on-call, addressing issues promptly and effectively
 * Travel as needed to client sites, often on short notice, to facilitate in-person collaboration and implementation


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