At Supermodular.ai, we help enterprises navigate AI Transformation. We believe in strategy through execution.
Most organizations understand the potential of AI, but struggle to translate that ambition into real operational change. The challenge is rarely the technology itself. It is how AI fits into complex systems, workflows, and engineering organizations that have evolved over years. We believe AI transformation cannot be designed purely in strategy documents. The real strategy only emerges by building, deploying, and operating AI systems inside the organization.
That’s why we work directly with enterprise IT and software teams to design and implement AI systems in real environments. This includes enabling engineering organizations to work in fundamentally new ways by introducing AI-native development practices, frameworks, and technical assets that change how teams build and operate software. It also includes building custom AI systems that unblock difficult modernization or harmonization efforts where traditional approaches have stalled.
Our team has a strong track record of building high-impact AI systems and scaling engineering teams inside complex enterprises. If you enjoy solving hard enterprise problems and turning ambitious ideas into systems that actually run in production, you’ll feel at home at Supermodular.ai.
Your RoleAs a Forward Deployed Engineer at Supermodular.ai, you will work directly with enterprise IT and software teams to turn AI into systems that actually run in production.
You will be embedded in real enterprise environments, working alongside engineers and technical leaders to understand how systems operate today and where AI can create meaningful impact. Much of your time will be spent inside complex system landscapes, identifying opportunities, designing practical solutions, and building the systems that bring them to life.
Your work will span the full lifecycle of an engagement. You will help shape technical approaches early, design architectures that fit enterprise constraints, and implement the systems that deliver real operational improvements.
Many of the problems you will encounter are not fully defined at the start. Your role is to bring clarity to these environments by proposing practical solutions and building systems that move the organization forward. At its core, this role is about one thing: building systems that turn AI ambition into working capability.
Desired skills and qualificationsYou think AI-first and agentic-first, exploring how agents, tools, models, and workflows can solve a problem before defaulting to traditional software approaches.
You are comfortable working at the edge of AI capabilities, experimenting with models, orchestration patterns, evaluation loops, and emerging tooling to discover what works in practice.
You use AI as a default part of your development workflow, leveraging it to explore solutions, prototype quickly, and accelerate system design and implementation.
You prefer rapid experimentation and iteration over long specification cycles, moving quickly from idea to prototype to working system.
You are pragmatic about tools and technologies and will build whatever is required to solve the problem at hand, rather than relying on a fixed stack or predefined architecture.
You can translate messy operational problems into working technical systems, even when requirements are incomplete or evolving.
You have a strong software engineering foundation with experience designing and building production systems in distributed or cloud-native environments.
You understand how to combine AI capabilities with traditional system primitives such as APIs, databases, messaging systems, and enterprise integrations.
You are comfortable working directly with engineers, architects, and technical leadership inside enterprise environments.
You have a practical mindset around reliability, performance, security, and observability when deploying systems that must operate in real production environments.
Intro Interview > 2 Technical deep-dives > Culture & Offer
Skills Required
- AI-first and agentic-first problem-solving approach
- Experience experimenting with AI models, orchestration patterns, evaluation loops, and emerging tools
- Regular use of AI in software development and system design workflows
- Ability to rapidly prototype and iterate on technical solutions
- Pragmatic ability to select and use tools and technologies based on problem requirements
- Ability to translate ambiguous or evolving operational problems into working technical systems
- Strong software engineering foundation
- Experience designing and building production systems in distributed or cloud-native environments
- Ability to combine AI capabilities with APIs, databases, messaging systems, and enterprise integrations
- Comfort working directly with engineers, architects, and technical leadership in enterprise environments
- Practical understanding of reliability, performance, security, and observability for production systems
What We Do
Supermodular.ai helps enterprises turn AI ambitions into production-ready capabilities. It works directly with enterprise IT and software teams to design, build, and deploy AI systems within complex organizational environments. Its work includes AI-native software engineering practices, enterprise systems and data harmonization, modernization initiatives, custom AI solutions, and operational infrastructure such as agents, controls, monitoring, and quality validation for scalable enterprise transformation.
