Founding AI Engineer

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.