Generative AI & Agentic AI Solutions Developer (f/m/div.)

As a Generative AI & Agentic AI Solutions Developer, you will help design and implement innovative AI-powered solutions across engineering, manufacturing and business operations. You will work closely with domain experts and software engineers to transform complex challenges into scalable AI solutions.

• Identify and prioritize opportunities where Generative AI and Agentic AI can drive business impact and operational excellence
• Design, develop and validate AI-powered solutions, including AI copilots, Retrieval-Augmented Generation (RAG) 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 cross-functional and international teams to deliver production-ready AI applications
• Contribute to the standardization, reuse and continuous improvement of AI assets, frameworks and best practices
• Support the adoption of responsible, secure and scalable AI technologies across the organization
• Stay up to date with emerging AI technologies and help shape Bosch's AI innovation journey

• 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 in enterprise environments
• Experience implementing AI-powered solutions from concept through deployment
• Experience working with cross-functional and multidisciplinary teams
• Ability to connect technical solutions with measurable business outcomes
• Experience integrating AI solutions into existing systems and business processes
• Understanding of Generative AI concepts, foundation models and Large Language Models (LLMs)
• Familiarity with platforms and providers such as OpenAI, Azure OpenAI, Claude, Gemini, Llama or similar technologies
• Experience designing prompts, grounding strategies and context-management approaches for reliable AI outputs
• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search and information retrieval techniques
• Experience working with enterprise knowledge sources, document repositories and structured or unstructured data
• Understanding of knowledge management principles and trustworthy AI responses
• Knowledge of AI agents, agentic workflows, multi-step reasoning and human-in-the-loop approaches
• Familiarity with tool calling, function calling, MCP (Model Context Protocol) and workflow orchestration concepts
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex or comparable technologies
• Solid Python programming skills
• Knowledge of API development, API integration and object-oriented programming principles
• Experience with Git, testing, debugging and maintainable software development practices
• Familiarity with Azure AI services, cloud platforms, deployment architectures and containerization
• Understanding of authentication, authorization and enterprise application integration
• Knowledge of model selection, token management, performance optimization and cost-efficient AI deployments
• Understanding of evaluation frameworks, benchmarking methods and quality metrics for Generative AI applications
• Knowledge of hallucination mitigation, monitoring, observability and AI quality assurance practices
• Awareness of Responsible AI, security, compliance and governance requirements in enterprise environments
• English proficiency, both written and spoken
• Structured, analytical and solution-oriented approach
• Proactive, self-driven and accountable mindset
• Strong collaboration and communication skills
• Pragmatic attitude focused on business value and user outcomes
• Agile and iterative way of working with a passion for continuous learning and improvement

• Experience in manufacturing, industrial engineering or technology-driven environments is considered an advantage

• Flexible work conditions
• Hybrid work system
• Exchange with colleagues around the world
• Health insurance
• Medical office (psychology and general clinic) & Social Services Office on site
• Training opportunities (p.e., technical training, foreign languages training) & certifications
• Opportunities for career progression and continuous professional development
• Access to great discounts in partnerships and Bosch products
• Sports and health related activities
• Great access to public transports
• Free transport from Porto
• Flexible benefits platform
• Free parking lot
• Canteen
• Company bike leasing
• Company pension scheme from the 3rd year at Bosch
• Bosch Bus to direct connection Porto <> Bosch Braga

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.