Your roadmap doesn't need more engineers. It needs the right kind.
Senior AI engineers, embedded directly into your team and codebase. AI-native by design, not by addition.
This isn't staff augmentation. It's embedded AI capability.
A Forward Deployed Engineer doesn't just add hours to your sprint. They add the specific engineering capabilities your roadmap requires.
What it's not
A contractor to onboard and manage. A body-shop filling tickets. A junior with an AI certification. A vendor who needs context repeated every meeting.
What it is
One senior FDE embedded into your team to accelerate roadmap delivery across AI infrastructure, agent workflows, integrations, and production systems.
What you own
Every line of code, every architecture decision, every deployment. All in your repo, to your standards. You're never locked to us to keep it running.
The capabilities they bring to your codebase
AI-native engineering is a specific skill set. Here's what an FDE can build from day one.
LLM Integration
- Context-aware search and retrieval
- Document analysis and extraction
- AI-powered content generation
Agent Workflows
- Autonomous decision pipelines
- Multi-step AI process design
- Human-in-the-loop handoffs
AI Infrastructure
- Vector databases and RAG pipelines
- Embedding management
- Prompt versioning and evaluation
Conversational Interfaces
- Natural language product queries
- Chat and command interfaces
- Voice and multimodal input
Personalization
- Recommendation systems
- Adaptive user experiences
- Behavioural intelligence
Production AI Ops
- Model monitoring and alerting
- Cost controls and fallback logic
- Evaluation frameworks
AI-native Refactoring
- Replace rules-based logic with AI
- Intelligent classification systems
- Automated decision layers
ML Pipeline Integration
- Connect ML models to product
- Feature engineering pipelines
- Inference optimisation
The capabilities they've already delivered
How embedded engineers moved roadmaps forward.
US-Based Consumer Products Company
Situation
As the business scaled across D2C and B2B channels, leadership struggled to forecast demand and plan inventory with confidence. Existing software could not provide the visibility the team needed, leaving inventory planning dependent on spreadsheets, manual reporting, and disconnected operational data spread across multiple functions.
Outcome
A Forward Deployed Engineer embedded with the team and built a custom planning platform tailored to the company's workflow. Instead of adopting another third-party tool, the company gained a planning capability designed around its existing operation. The system unified inventory, purchasing, logistics, and production data into a single planning environment, giving leadership real-time visibility and reducing reliance on manual processes.
How it works.
Three steps. Straightforward from first conversation to FDE in your codebase.
You tell us what your roadmap needs
One conversation. No intake form, no discovery phase. You describe the capability gap, we ask the right questions about your stack, your team, and your timeline.
Profiles matched to your stack
You receive profiles of FDEs matched to your stack and the specific capabilities your roadmap requires. Senior engineers, not a shortlist of contractors. You review, ask questions, and choose.
Contributing from day one
Scope and terms agreed, your FDE is in your Slack and GitHub within days. Building against your actual tickets, in your actual codebase, to your standards from day one.
Common questions
What is a Forward Deployed Engineer?
A Forward Deployed Engineer (FDE) is a senior AI-native engineer embedded directly into your team. They work inside your codebase, tools, and workflows to deliver capabilities your roadmap requires but your team hasn't built before.
How is this different from the Forward Deployed Engineer programs offered by OpenAI, Google, or Anthropic?
Most AI labs reserve their programs for large enterprise customers. Creative Chaos brings the same embedded engineering model to mid-market companies without Fortune 500 requirements, enterprise procurement hurdles, or multi-year commitments.
How is a Forward Deployed Engineer different from a contractor or staff augmentation?
Staff augmentation gives you additional capacity. A Forward Deployed Engineer brings specialized capability. They don't wait for tickets to be assigned. They understand the roadmap, work within your architecture, and help deliver production-grade outcomes.
Do we own everything a Forward Deployed Engineer builds?
Yes. All code, infrastructure, documentation, and workflows live in your repositories, under your accounts, and inside your environment. When the engagement ends, everything continues running without dependency on Creative Chaos.
What can a Forward Deployed Engineer help us build?
LLM integrations, agent workflows, AI infrastructure, conversational interfaces, production AI systems, evaluation frameworks, personalization engines, and machine learning integrations, to name a few. The focus is not prototypes. The work is considered complete when it's running in production against agreed acceptance criteria.
Tell us what your roadmap needs.
One conversation. We'll tell you honestly whether an FDE is the right fit, and if it is, you'll have profiles in your inbox within 48 hours.
