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# Python AI Platform Engineer

- **Company:** Intellectsoft
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** FactSet, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, NoSQL, Query Optimization, System Availability, Large Language Models, Multi-Agent Systems, Indexer, Containerization, Kubernetes, Low Latency, Deployment Automation, Multiplatform, Serverless Computing, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.jobleads.com/es/job/e84d6593ade654cfd5b1fd2eb78c635ec

## About the Role

* Expert-level Python proficiency, as it is the primary language for all development.
 * Deep technical knowledge of relational databases (PostgreSQL), including schema normalization, writing complex joins, query optimization, and managing indexing for high-concurrency environments.
 * Proficiency with NoSQL databases, with a deep understanding of when to use document, key-value, or vector stores to handle unstructured LLM outputs and high-velocity research data.
 * Comprehensive knowledge of deployment approaches, including experience with CI/CD pipelines, containerization (Docker/Kubernetes), and different deployment strategies.
 * Multi-platform deployment experience, with the ability to navigate and deploy across various environments ranging from serverless to traditional cloud providers (AWS, GCP, or Azure).
 * Proven experience with serverless compute (e.g., Modal) and cloud-native architectures.
 * Hands-on experience with LLM APIs including direct integration with OpenAI, Anthropic, xAI, or Google.
 * Familiarity with AI orchestration frameworks such as Pydantic AI.
 * High level of resourcefulness and the ability to quickly master new concepts as the AI landscape evolves.
 * Nice to have: experience working with financial data providers like S&P Global, FactSet, or SEC Edgar.
 * Familiarity with modern AI tooling APIs such as Exa or Parallel.

## Description

* Write clean, maintainable Python code to build out the core orchestration engine and API layers.
 * Develop and debug durable execution logic, implementing state management, automated retries, and cost-control triggers for long-running tasks.
 * Build and maintain integrations for LLM providers and financial data APIs, ensuring high availability and low latency.
 * Design and implement database schemas in PostgreSQL and NoSQL stores, writing optimized queries and managing migrations.
 * Create unified API abstractions that allow the system to switch between different LLM models and storage backends via configuration.
 * Build automated test suites and evaluation pipelines to validate the accuracy of LLM outputs and system performance.
 * Configure and automate deployment pipelines across multiple platforms, including CI/CD orchestration and container management.
 * Build and manage scalable infrastructure using serverless compute (Modal) and cloud-native services to ensure high availability.


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