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Senior AI Engineer

bp

Madrid

Presencial

EUR 60.000 - 80.000

Jornada completa

Hace 8 días

Descripción de la vacante

A global energy company is seeking a Senior AI Engineer in Madrid to design and deploy scalable AI applications. The ideal candidate will have over 5 years of experience in software engineering, strong Python skills, and knowledge of cloud infrastructure. This role involves working closely with cross-functional teams and participating in the entire product lifecycle, offering a hybrid work model and professional development opportunities.

Servicios

Competitive salary
Positive work environment
Lifelong learning opportunities

Formación

  • Proficient in software engineering with modern practices.
  • Ability to develop and deploy AI applications.
  • Experience with backend systems and microservices.

Responsabilidades

  • Design and maintain AI applications using CI/CD practices.
  • Implement platforms for AI solutions across the organization.
  • Collaborate with data scientists and engineers for product reliability.

Conocimientos

Python programming
Java programming
Cloud infrastructure (AWS, Azure, GCP)
DevOps practices
Machine learning integration

Educación

5+ years of software engineering experience

Herramientas

LangChain
Hugging Face
Descripción del empleo
Overview

Join bp as Senior AI Engineer. We’re looking for engineers who think holistically, automate relentlessly, and are proficient in the fast paced world of AI tooling and infrastructure—with grounded engineering principles. The AI Acceleration organization builds high-impact AI-powered applications that deliver real business value at speed.

This role focuses on building and deploying scalable AI-powered applications through strong software engineering and pragmatic use of modern AI capabilities. This is a role for top-tier engineers excited about applying AI in practical and scalable ways.

We’re seeking individuals who thrive at the intersection of rigorous software development and modern AI applications, comfortable across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership, and the ability to ship value fast are essential.

Job Responsibilities
  • Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
  • Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
  • Participate in cross-functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions addressing high-priority business problems.
  • Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
  • Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.
  • Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
  • Stay current with emerging AI technologies, prioritizing practical application and delivery over experimental research.
  • Contribute to internal knowledge bases, tooling libraries, and documentation to scale AI engineering standard methodologies across the organization.
Job Qualifications
  • 5+ years of professional software engineering experience; ability to independently design and ship sophisticated systems in production.
  • Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.
  • Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
  • Experience with software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
  • Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents).
  • Ability to move quickly while maintaining code quality, test coverage, and operational excellence.
Desirable Criteria
  • Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
  • Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.
  • Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
  • Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
  • Experience building chatbots, search systems, or generative AI interfaces.
  • Background in platform engineering or internal developer tools teams.
  • Experience working in embedded (forward-deployed) team models with business stakeholders.
  • Experience building production-grade, reliable AI applications.
Additional Details

If you’re passionate about using AI to tackle real-world problems and believe that great software engineering is the key to unlocking that value, we’d love to meet you.

At bp, we recognise the contribution you make to our business with a range of benefits including competitive salary, benefits, positive work environment, and professional development. We support lifelong learning opportunities and opportunities to collaborate on major projects across the world.

Travel and Relocation

Travel: Up to 25% travel should be expected with this role.

Relocation: This role is not eligible for relocation.

Remote Type: This position is a hybrid of office/remote working.

Skills

Agility core practices, Analytics, Business Analysis, Coaching, Communication, Configuration management and release, Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, Risk Management, Service operations and resiliency, Stakeholder Management, Supplier Relationship Management, System Design

Legal Disclaimer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity, veteran status or disability status. Individuals with an accessibility need may request an adjustment related to bp’s recruiting process. If you would like to request an adjustment, please contact us.

Seniority level: Associate

Employment type: Full-time

Job function: Engineering and Information Technology

Industry: Oil and Gas

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