Experienced Ai Software Engineer

6000 Accenture S.L. Company

Madrid, Spain

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing Code Review Databases

+16 more

Computer Engineering Continuous Integration Software Debugging Python (Programming Language) NoSQL Software Engineering SQL Databases TypeScript Large Language Models Prompt Engineering Backend Kubernetes Information Technology Web Technologies Docker Microservices

Job description

Experienced AI Software Engineer ** Accenture S.L. Company Madrid, area metropolitana (comarca); comunidad de madrid, SpainDescripción del trabajo We are a forward-thinking services company at the forefront of AI-native innovation.Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.Own deployment, monitoring, and troubleshooting for services in production.Tailor and deploy agentic applications across verticals (e.g., Participate in and/or lead design workshops, proof-of-concepts, and code-with sessions to shape data-driven agent workflows and foster stakeholder trust and adoption.Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.Iterate rapidly based on data, feedback, and changing requirements.Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects).Proficiency in at least one backend language: Python, Java, or TypeScript.Experience building AI-powered coding assistants and integrating LLM APIs into application lifecycles (tests, debugging, code review, prompt engineering).Understanding of web technologies (JavaScript, HTML, CSS), cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines.Experience with databases (SQL or NoSQL).Knowledge of Agile delivery fundamentals.Familiarity with agentic system concepts, such as orchestration frameworks (LangChain, LangGraph, or equivalent), retrieval-augmented generation pipelines, and how full-stack applications connect to agent-based architecture.Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable.Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.Ofertas similaresResponsible AI Engineer / AI Research Engineer.Spain

Hybrid in Madrid, Barcelona, Málaga or Logroño

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Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field. Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects). Proficiency in at least one backend language: Python, Java, or TypeScript. Experience building AI-powered coding assistants and integrating LLM APIs into application lifecycles (tests, debugging, code review, prompt engineering). Understanding of web technologies (JavaScript, HTML, CSS), cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines. Experience with databases (SQL or NoSQL). Knowledge of Agile delivery fundamentals. Familiarity with agentic system concepts, such as orchestration frameworks (LangChain, LangGraph, or equivalent), retrieval-augmented generation pipelines, and how full-stack applications connect to agent-based architecture. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable.