Senior AI Engineer

BP p.l.c.; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading energy company is seeking a Senior Data Engineer to build and deploy scalable AI-powered applications. The ideal candidate has over 5 years of software engineering experience, proficiency in Python and Java, and is knowledgeable in AI tools. This role offers a hybrid work model and the opportunity to work on impactful AI projects. Candidates should be comfortable with cloud infrastructure and DevOps practices.

Servicios

Competitive salary

Professional development opportunities

Positive work environment

Formación

• Experience integrating machine learning models into production systems.
• Ability to move quickly while maintaining code quality.
• Exposure to working with unstructured data.

Responsabilidades

• Design, develop, and maintain AI applications.
• Collaborate with cross-functional teams to deploy AI solutions.
• Evaluate and integrate existing AI tools into robust applications.

Conocimientos

Python

Java

Software architecture

Cloud infrastructure

DevOps practices

AI tools familiarity

Problem-solving

Educación

5+ years of professional software engineering experience

Herramientas

AWS

Azure

GCP

Descripción del empleo

Overview

We’re looking for engineers who think holistically, automate relentlessly, and are proficient in the fast paced world of AI tooling and infrastructure—but grounded in focused engineering principles. Our AI Acceleration organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior Data Engineer, you’ll play a meaningful role in building and deploying scalable AI-powered applications through shown software engineering completion combined with pragmatic use of modern AI capabilities. This is a role for top-tier engineers who are excited about applying AI in practical and scalable ways.

We’re looking for individuals who thrive at the intersection of strict software development and modern AI applications. You should be comfortable working 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 attitude, 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 that tackle 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, but prioritize practical application and delivery over experimental research.
• Chip in to the internal knowledge base, 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.
• Confirmed understanding of 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 and crew of agents etc.).
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence.
• 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 working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business stakeholders.
• Experience building production-grade, reliable AI applications.

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 working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business stakeholders.
• Experience building production-grade, reliable AI applications.

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 whole range of benefits including a competitive salary, benefits, positive work environment and professional development. We believe in life-long learning opportunities and development. Through , we provide employees with an immense career offer of learning opportunities as well as opportunities to collaborate in major projects across the world.

Travel, Relocation & Remote

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

Relocation Assistance: This role is not eligible for relocation.

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

Skills

Skills: Agility core practices, Building a Community of Practice, Business Acumen, Coaching, Collaboration, Communication, Conflict Management, Creating a high performing team, Designing with AI, Design Thinking, Digital Fluency, Facilitation, and more.

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 / neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment / accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment / accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.