Software Engineer, Forward Deployed

• 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

• 2+ 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
• Prior experience working directly with clients in use case discovery, product development, and leading client engagements
• 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
• Ability to write well-structured, organized code and automated unit/E2E tests
• Comfortable with polyglot persistence models (SQL vs. NoSQL)
• Experience with MLOps frameworks and best practices
• familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management
• Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
• Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers

Bonuses and equity are included in offers above entry level