AI-Powered Software Engineer (Hybrid, London)

BP PLC; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working options

Generous retirement benefits

Parental leave policy

Descripción de la vacante

BP plc in London is seeking a Software Engineer to build scalable AI-powered applications with solid software engineering. You will work across ideation to deployment, applying AI responsibly and delivering value quickly.

Join a team that values modern AI tooling, cloud-native architectures, and pragmatic delivery, with a hybrid work setup and strong collaboration with data scientists and stakeholders.

Formación

• Proven professional software engineering experience designing and shipping complex systems.
• Strong Python or SQL background with backend and API development expertise.
• Cloud infra knowledge (AWS/Azure/GCP) and modern DevOps practices.
• Experience integrating ML models and AI tooling into production.
• Ability to move quickly with code quality, test coverage, and reliability.

Responsabilidades

• Design, develop, and maintain production-grade AI applications and services using CI/CD and testing.
• Define and implement reusable AI platforms and tools across the enterprise.
• Collaborate with data scientists, PMs, and engineers to deliver end-to-end AI products.
• Evaluate AI tools/frameworks (LLMs, vector stores, RAG) and integrate into apps.
• Automate data workflows from ingestion to deployment and monitoring.
• Document and share tooling and best practices across the organization.

Conocimientos

Python

SQL

Microservices

APIs

Backend systems

Cloud infrastructure

DevOps

AI tooling

LLMs via APIs

Herramientas

LangGraph

Haystack

Hugging Face

Weaviate

Retrieval Augmented Generation

Descripción del empleo

BP plc in London is seeking a Software Engineer to build scalable AI-powered applications with solid software engineering. You will work across ideation to deployment, applying AI responsibly and delivering value quickly.

Join a team that values modern AI tooling, cloud-native architectures, and pragmatic delivery, with a hybrid work setup and strong collaboration with data scientists and stakeholders.