Backend Engineer - AI Platform

Boehringer Ingelheim España, S.A.

23 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English, German

Job location

Tech stack

API

Artificial Intelligence

Amazon Web Services (AWS)

Azure

Databases

DevOps

Disaster Recovery

Python

Openshift

Software Engineering

Strategies of Testing

System Availability

Large Language Models

Backend

GIT

FastAPI

Pytest

Kubernetes

Information Technology

HuggingFace

low-code

Docker

Jenkins

Job description

We are looking for a self-driven and team-oriented Backend Engineer to strengthen our internal AI foundations platform Apollo. The goal of Apollo is to facilitate the development of LLM- and Agentic AI applications. You will work as a member of the Apollo team to further expand this internal platform.

Tasks and responsibilities

Be the Backend Engineer of Boehringer lngelheim's Apollo platform. You will design, build and support a highly available LLM and Agentic AI platform.
Closely collaborate with the Apollo Product Owner and the architecture and engineering team members.
Support different product lines of Apollo, such as the enterprise LLM API and a low-code/no-code agent development platform.
Monitor and fix platform availability and performance issues as well as implement high availability and disaster recovery solutions to maximize platform availability during planned or unplanned outages.

Requirements

Do you have experience in Python?, Do you have a Master's degree?, * Master's degree in computer science, software engineering, or in a comparable scientific course of studies or bachelor's degree with practical working experience.

Comprehensive knowledge of Docker, Kubernetes (OpenShift), and DevOps tools like Jenkins, Helm, Git.
Strong Python development skills with expertise in FastAPI.
Solid knowledge of robust testing strategies and their implementation (e.g., Pytest).
Experience in the LLM/Agentic AI ecosystem and related technologies (e.g., Huggingface, Azure OpenAI, AWS Bedrock, LangChain, LiteLLM, Argilla, DeepEval, Qdrant or other vector databases) is beneficial.
Experience in building and maintaining API based systems.
Professional experience in an international IT environment is a plus.
Working experience in pharmaceuticals or similar industries is a plus.Excellent communication and presentation skills in English (oral and written); German is a plus.