
Generative AI & Agentic AI Solutions Developer (f/m/div.)
Bosch Global1 month ago
Braga, PortugalMid Level
Responsibilities
- Identify and prioritize Generative AI and agentic AI opportunities that can create business impact and operational excellence.
- Design, develop, and validate AI copilots, Retrieval-Augmented Generation applications, AI agents, and agentic workflows.
- Translate business requirements and knowledge-intensive processes into scalable AI-assisted solutions.
- Integrate AI solutions with enterprise platforms, business applications, and data ecosystems.
- Collaborate with domain experts, software engineers, business stakeholders, and international multidisciplinary teams to deliver production-ready AI applications.
- Standardize, reuse, and continuously improve AI assets, frameworks, and best practices.
- Support responsible, secure, scalable, and governed AI adoption across the organization.
- Stay current with emerging AI technologies and contribute to Bosch’s AI innovation initiatives.
Requirements
- MSc in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Mathematics, Physics, Engineering, or a related field, or equivalent practical experience in software development and AI solution implementation.
- Experience developing Generative AI applications and implementing AI-powered solutions from concept through deployment in enterprise environments.
- Experience integrating AI solutions with existing systems and business processes and connecting technical solutions to measurable business outcomes.
- Understanding of Generative AI concepts, foundation models, Large Language Models, prompt design, grounding strategies, and context management.
- Knowledge of RAG, embeddings, vector databases, semantic search, information retrieval, enterprise knowledge sources, and structured or unstructured data.
- Knowledge of AI agents, agentic workflows, multi-step reasoning, human-in-the-loop approaches, tool calling, function calling, MCP, and workflow orchestration.
- Experience or familiarity with OpenAI, Azure OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, or LlamaIndex.
- Solid Python programming skills and knowledge of API development, API integration, object-oriented programming, Git, testing, debugging, and maintainable software development practices.
- Familiarity with Azure AI services, cloud platforms, deployment architectures, containerization, authentication, authorization, and enterprise application integration.
- Knowledge of model selection, token management, performance optimization, cost-efficient AI deployments, evaluation frameworks, benchmarking, monitoring, observability, and AI quality assurance.
- Awareness of Responsible AI, security, compliance, governance, and hallucination mitigation requirements.
- English proficiency in written and spoken communication; experience in manufacturing, industrial engineering, or technology-driven environments is an advantage.
Benefits
- Flexible work conditions and a hybrid work system.
- Exchange and collaboration with colleagues around the world.
- Health insurance and on-site medical, psychology, and social services offices.
- Technical, foreign-language, and other training opportunities with certifications.
- Career progression and continuous professional development opportunities.
- Discounts through Bosch partnerships and on Bosch products.
- Sports and health-related activities.
- Good access to public transportation, free transport from Porto, and free parking.
- Flexible benefits platform and on-site canteen.
Categories
About Bosch Global
Bosch Global (Robert Bosch GmbH) develops and sells mobility components and software, industrial automation and sensors, home appliances and power tools, and energy and building technologies to automakers, manufacturers, builders, and consumers. It monetizes through product sales and connected services spanning IoT, AI, and embedded software. Founded in 1886 and headquartered in Gerlingen-Schillerhöhe, Germany, the privately held Bosch Group operates worldwide across Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology sectors.