Our client is a high-growth AI and technology business focused on helping organizations unlock value through advanced analytics, automation, and artificial intelligence. Working at the intersection of AI, business transformation, and enterprise technology, the company develops proprietary platforms that enable organizations to better understand, optimize, and improve their operations.
Backed by leadership and talent from leading technology, analytics, and consulting firms, the organization is building innovative solutions that help businesses adopt AI with confidence, delivering measurable outcomes through data-driven transformation.
As the business continues its next phase of growth, it is seeking a Principal Software Engineer to play a key role in shaping both its technology platform and engineering culture.
RESPONSIBILITIES
- Lead the technical vision, architecture, and strategic direction of a sophisticated AI-powered enterprise platform.
- Mentor and develop a multidisciplinary engineering team through code reviews, design reviews, and hands‑on collaboration.
- Design and experiment with cutting-edge large language model (LLM) solutions and AI capabilities for production use cases.
- Architect and build scalable services using Python and modern AI orchestration frameworks.
- Partner closely with engineering, data, and leadership teams to design and optimize cloud-based data platforms and services.
- Build and maintain cloud infrastructure, CI/CD pipelines, security controls, and deployment processes.
- Translate complex business requirements into scalable technical solutions.
- Drive engineering excellence through testing, documentation, observability, monitoring, and best-practice development standards.
- Evaluate emerging AI technologies and identify opportunities to incorporate them into the platform roadmap.
SKILLS AND EXPERIENCE
Required
- 8+ years of professional software engineering experience, including experience operating at Technical Lead, Staff Engineer, or Principal Engineer level.
- Strong Python development experience, including production‑grade applications, analytics platforms, and data pipelines.
- Hands‑on experience with cloud platforms such as GCP, AWS, or Azure, including data services, infrastructure, and security management.
- Strong SQL and data modeling expertise for large-scale analytical workloads.
- Proven ability to lead projects and make architectural decisions in fast‑paced, evolving environments.
- Excellent communication skills with the ability to engage both technical and non‑technical stakeholders.
- Experience building and deploying production LLM applications using modern orchestration frameworks and multiple model providers.
Preferred
- Experience with Docker, CI/CD pipelines, and Infrastructure-as-Code.
- Familiarity with AI observability, monitoring, and evaluation frameworks.
- Previous experience in consulting, private equity‑backed organizations, or high‑growth technology environments.
- Background working on AI, machine learning, analytics, or enterprise transformation initiatives.
BENEFITS
- Meaningful early‑stage equity participation.
- Health, dental, and vision coverage.
- Retirement savings plan.
- Generous paid time off.
- Flexible hybrid or remote working options.