Full-Stack AI Engineer - Go/Python

About Us

Indie Campers is the leading campervan provider, dedicated to making road trips accessible and unforgettable for everyone. Innovation, product-led growth, and an unwavering commitment to our customers are at the heart of everything we do. With more than one million nights rented and travellers from 169 countries, we provide a single and trustworthy digital experience for road trips in the United States, Europe and Oceania, with different campervan configuration options and even the chance to buy one of our vehicles.

Our ambitions are big, and so are the challenges we embrace. We are scaling our technology organisation to unlock the next wave of automation- and AI-powered experiences that will delight customers and empower employees worldwide.

The Role

As a Full-Stack AI Engineer, you’ll rapidly build AI-powered products: backend services in Go/Python, lightweight frontends, and integrations with LLMs/tools. You’re an AI generalist who ships reliably and knows MLOps basics.

What Will You Work On?

• Ingest/transform pipelines (Airflow/Prefect + dbt; Kafka/PubSub).
• Lake/warehouse (S3/Parquet + Athena/BigQuery/Snowflake).
• Feature store, model registry, online/offline validation.
• Productionise models (APIs/events), monitoring & drift detection.
• Data quality checks, lineage, and cost optimisation.

Who Are We Looking For?

• 4–8+ years engineering; shipped AI features end-to-end.
• Go/Python, SQL/NoSQL; React basics; vector DBs (pgvector/FAISS).
• Familiar with eval frameworks, prompt strategies, and safety.
• Product sense; bias to action.

Core Values And Operating Principles

• Customer First: Relentless in providing the best service at the best price to all customers.
• Ownership: Proactively take ownership and deliver on our goals.
• Committed: Work together, as a team, for the long-term.
• Learn, build and structure.
• Be precise and go deep.

Are you ready to Go Indie?

Kpis & Targets (Year 1)

• Time-to-prototype ≤ 2 weeks; P50 latency ≤ 500 ms for AI endpoints (ex-inference).
• Quality uplift measured by task-specific evals; unit cost −20% after optimisation.