Backend Engineer – Python / FastAPI / LLM Pipelines | 100% Remote
Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.
We are looking for an experienced
Backend Engineer
to join an international technology project focused on building an intelligent platform that combines
Python backend development, APIs, LLM-based agentic workflows and large-scale data processing
.
Location:
Spain
Work model:
100% Remote
Environment:
International team
English:
Good professional working proficiency required
What will you be working on?
You will help build and operate the Python backend behind an AI-powered platform used to process, compare, update and evaluate complex technical content.
Your responsibilities will include:
Designing and maintaining REST APIs using
Python and FastAPI
.
Developing typed API schemas with
Pydantic
and strong typing practices.
Building asynchronous backend components and secure endpoints.
Developing agentic AI pipelines using
LangGraph and LangChain
.
Implementing workflows for content discovery, matching, editing, validation and evaluation.
Integrating
Azure OpenAI
models using structured outputs and function/tool calling.
Developing RAG-based solutions using embeddings and
FAISS
.
Implementing grounding, provenance and hallucination-control mechanisms.
Processing engineering datasets and large structured XML documents.
Performing data transformations using
pandas and openpyxl
.
Developing database integrations using
SQLAlchemy 2.x, PostgreSQL and AWS Aurora
.
Containerizing and deploying backend workloads using
Docker and AWS ECS/Fargate
.
Working with AWS services such as
ECR, Secrets Manager, RDS and SSO
.
Maintaining automated testing practices using
pytest
.
What are we looking for?
Strong professional experience with
Python
.
Solid experience developing APIs with
FastAPI
.
Experience with
Pydantic, async Python and typed backend development
.
Experience with
SQLAlchemy and PostgreSQL
.
Hands-on experience developing LLM applications using
LangGraph and/or LangChain
.
Experience integrating
OpenAI or Azure OpenAI APIs
.
Knowledge of
RAG, embeddings, vector search and structured LLM outputs
.
Experience implementing techniques to reduce hallucinations and improve LLM output quality.
Experience processing structured or semi-structured datasets.
Knowledge of
Docker and AWS cloud services
.
Experience with automated testing using
pytest
.
Experience with XML processing is highly valued.
Experience with AWS Aurora, ECS/Fargate or RDS Data API is a plus.
Good professional English communication skills. xqbhyrx
Technology Stack
Python · FastAPI · LangGraph · LangChain · Azure OpenAI · RAG · FAISS · Pydantic · SQLAlchemy · PostgreSQL · AWS Aurora · Docker · ECS/Fargate · pandas · XML · pytest
If you enjoy working at the intersection of
backend engineering, generative AI and cloud-based data processing
, we would love to hear from you.
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.