Role Overview
Aeris Dynamics is not a software company, we build and operate real-world systems. This role exists to embed AI directly into those operations.
We are seeking a Founding AI Engineer to serve as the first dedicated software engineering hire at Aeris Dynamics. This role will anchor a new digital products function within our Technical Department.
You will lead the development and scaling of two core platforms:
- Cold Chain Intelligence (CCI)
- Aeris Control Tower (ACT)
In parallel, you will implement Generative AI (GenAI) solutions across the enterprise, embedding AI into real workflows to improve productivity and unlock new value.
This is a hands-on, production-focused role. You will take AI-driven prototypes into fully deployed systems, establish engineering standards, and work closely with domain experts and external partners.
Key Responsibilities
- Design, build and deploy GenAI features (classification, extraction, summarization, drafting, agent workflows)
- Embed AI into live business workflows with proper evaluation, observability and guardrails
- Architect and develop scalable full-stack systems for CCI and ACT
- Convert AI prototypes into secure, production-grade applications
- Own Google Cloud infrastructure (Cloud Run, Cloud SQL, Firebase), including deployment, CI/CD, scaling, security and cost
- Integrate third-party APIs (IoT, logistics, weather, geolocation, messaging) reliably at scale
- Provide technical oversight of external development partners and uphold engineering standards
- Build and manage data pipelines, analytics systems and ML-driven improvements
- Leverage AI coding tools to accelerate delivery while maintaining engineering quality
Requirements
Must-Have
- Proven experience deploying GenAI/LLM-powered features in production (e.g. RAG, copilots, agents, classification)
- 3 years of full-stack development experience (frontend, backend, data, deployment)
- Hands-on cloud experience with ownership of infrastructure
- Experience with Google Cloud Platform (Cloud Run, Cloud SQL, Firebase)
- Proficiency with AI-assisted coding tools (e.g. Cursor, Codex, Claude Code)
- Strong system design and architectural judgment
- Ability to work independently in ambiguous, fast-moving environments
- Strong communication skills with both technical and non-technical stakeholders
Nice-to-Have
- LLM engineering (RAG pipelines, evaluation, fine-tuning, agent frameworks)
- Data engineering and applied machine learning
- Python for scientific/numerical computing (NumPy, SciPy)
- Experience in IoT, logistics, supply chain, or data-intensive systems
How To Apply
Submit your application with:
- Updated resume
- Current and Expected Salary
- Notice period
Additional Information
- AWS plus Variably Bonus
- A genuine learning budget: including the AI tools that make you faster (e.g. Claude Max plan)
- The hardware you need to do your best work.
- Ground-floor ownership of products with a real commercialization roadmap, and the chance to shape an engineering team from day one.
