Senior AI Engineer

Overview Senior AI Engineer – remote / hybrid between office and remote work in Spain (Madrid). Full-time role posted yesterday with an end date of September 15, 2025. Job requisition ID : RQ.

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 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.

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.

Solid 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).

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 related systems.

Experience with GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar toolkits.

Experience working with unstructured data (documents, conversations, images) and transforming it into structured formats.

Experience building chatbots, search systems, or generative AI interfaces.

Background in platform engineering or internal developer tools teams.

Experience in embedded (forward-deployed) team models with business stakeholders.

Experience building production-grade, reliable AI applications.

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

This role is not eligible for relocation.

Remote & Work Environment This position is a hybrid of office / remote working.

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. Depending on the role, employment may be contingent upon adherence to local policy, including pre-placement drug screening, medical review, and background checks.

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