AWS Engineer (Python)

Permanent Opportunity: Founding Engineer (AI) – Madrid

Our client

is a conversational AI platform building intelligent agents for enterprise customers.

The company initially launched with a commerce focused product, but has since pivoted into a horizontal enterprise AI platform that helps organizations deploy conversational AI and autonomous agents across multiple use cases.

The client is currently a 4-person team (recently 5) operating at the earliest stage of company building. While still pre product market fit, the company already has paying customers across retail, industrial, manufacturing, education, and hospitality.

We’re now looking for a Founding Engineer to join the team and help build the product from the ground up.This role is for someone who wants to shape both the technology and the company, not just execute tickets.

The Opportunity:

As a Founding Engineer, you’ll work directly with the founders to: Build the core AI platform Shape the technical architecture Work directly with enterprise customers Rapidly iterate toward product market fit

This is a true zero to one role with significant ownership and equity.

Core Traits: We’re looking for engineers with a builder mindset. Most importantly, you should be excited about building something from scratch.

Experience: We care more about talent and ambition than years of experience.

Typical profiles might include: Engineers with 3–5 years experience Exceptional recent graduates already building AI systems Builders with strong side projects or startup experience

We prefer curious, ambitious engineers over a strict 9-to-5 mentality.

Technical Stack:

Backend (Primary Focus – ~70–80%): Python FastAPI for API development PostgreSQL Redis for caching

Hands-on database work is expected.

Frontend (~20–30%): React Deployed via Vercel

Full-stack capability is strongly preferred.

AI / Machine Learning: Experience with modern AI tooling is important.

Preferred experience includes: Phidata AI (preferred) LangChain / LangGraph Agentic workflows Prompt engineering RAG pipelines Vector databases (Pinecone, Qdrant)

Experience deploying AI agents in production is a plus.

Nice-to-have: Voice AI (STT / TTS)

Infrastructure & DevOps: Cloud infrastructure (preferably AWS) Terraform Basic DevOps and deployment knowledge

Deep DevOps expertise isn’t required, but awareness of scalability and cost optimization is valuable.

Integrations: You’ll frequently work on customer integrations, including: Third-party APIs Enterprise systems Communication tools Telephony systems

Deep prior integration experience isn’t required, but you should be comfortable figuring things out quickly.

Location: Madrid (office-first culture) Candidates within 80–100 km radius considered Relocation support available

Apply: Interviews are already taking place this week. Apply directly or send your CV to: connor.ballard@wavetalent.co

We’ll arrange a virtual introductory meeting shortly after.