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.

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.