Backend Engineer (Python, API)

About Invisible

Invisible Technologies is a leading innovator in the artificial intelligence industry, dedicated to making AI work effectively within enterprise environments. Our comprehensive end-to-end AI platform is designed to structure unorganized data, automate complex digital workflows, deploy intelligent agentic solutions, measure outcomes, and seamlessly integrate human expertise where it is most impactful. Our platform specializes in cleaning, labeling, and organizing company data to prepare it for advanced AI applications. We tailor models to meet specific business needs and incorporate human input when necessary, leveraging this approach to enhance models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successful projects span multiple industries, from automating supply chain processes for Swiss Gear to developing AI-enabled naval simulations with SAIC, and even validating NBA draft picks for the Charlotte Hornets. Over the past several years, Invisible has maintained profitability, reaching $134 million in revenue and ranking as the second fastest-growing AI company on the 2024 Inc. 5000 list. In September 2025, we secured $100 million in growth capital to accelerate our mission of making AI practical and impactful in enterprise settings and to further develop our platform technology.

About The Role

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.

Qualifications

• 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

Responsibilities

• 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

Benefits

• Competitive salary range of $250,000 - $300,000 annually, commensurate with experience and location
• Performance-based bonuses and equity options included in compensation packages
• Comprehensive health, dental, and vision insurance plans
• Retirement savings plans and other financial benefits
• Generous paid time off and flexible work arrangements
• Opportunities for professional growth, mentorship and internal growth opportunities

Equal Opportunity

Invisible Technologies is committed to fostering an inclusive and diverse work environment. We welcome applications from candidates of all backgrounds, identities, and experiences. We believe that diverse teams drive innovation and better serve our global customer base. Our hiring process is designed to be accessible and equitable, and we provide accommodations for candidates requiring support at any stage. We encourage everyone interested in joining our team to apply, regardless of whether they meet 100% of the listed qualifications.