Invisible Technologies is seeking a Principal Software Engineer to join their AI/ML team to design and deploy ML-powered tools that solve meaningful problems for clients, working at the intersection of engineering, data science, and real-world impact.
Requirements
- 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production.
- Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads.
- Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development.
- Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications.
- Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads.
- Familiarity with Kubernetes and other container management tools.
- ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management.
Responsibilities
- Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
- Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
- Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
- Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
- Client Engagement: Collaborate directly with Invisible’s clients, working embedded with client teams to support use case discovery, product development, and AI deployment.
- Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows
Other
- Prior experience working directly with clients in use case discovery, product development, and leading client engagements
- Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
- Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers.
- We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.
- If you’re looking for predictable routines, this isn’t the place for you.
