About MarvelX

MarvelX is building highly specialized AI agents for the most complex, heavily regulated industries. Think insurance claims, compliance, support. Automated by AI that actually works in the real world. The opportunity is massive, and we’re moving fast.

We’re looking for a Backend Engineer who thrives on building robust, high-performance systems that move data efficiently and reliably. Someone who understands the balance between speed, scalability, and clarity: and who can turn complex data flows into clean, production-grade services.

You’ll work directly with our founders and tech leads to design and implement the APIs and data pipelines that power our AI systems. If you like working close to the data and architecting clean interfaces for complex problems: you’ll love this role.

This isn’t a maintenance job. It’s an early seat on the rocket ship.

If that sounds like your kind of challenge, let’s talk.

Mission

As a Backend Engineer, you’ll be responsible for designing and implementing the backbone of MarvelX’s platform: from clean, well-structured APIs to high-performance search and data access layers. You’ll work with SQL and ElasticSearch at scale, build efficient backend services with FastAPI, and ensure our AI systems can access the right data at the right time with minimal latency.

What you'll be doing

• Design and build backend services and APIs using Python and FastAPI.

• Implement and optimize database models and queries using PostgreSQL and other relational systems.

• Work with ElasticSearch to enable fast, relevant search and analytics capabilities.

What you'll need

• 2–4 years of experience developing production-grade backend systems.

• Strong command of Python (FastAPI preferred; Flask/Django acceptable background).

• Excellent understanding of SQL (query optimization, schema design, transactions).

• Experience working with ElasticSearch: queries, mappings, and performance tuning.

Bonus

• Experience with async Python, caching layers, or message queues.

• Knowledge of data engineering principles or ETL design.

• Familiarity with containerization (Docker) and deployment pipelines.

• Startup experience: comfortable building fast and shipping often.