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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Senior Ai Engineer • Madrid, Madrid, SPAIN