Applied AI Engineer

As a GenAI Engineer, you design, prototype, and implement AI agents that support engineering workflows across Bosch. You translate complex engineering use cases into intelligent, reliable, and compliant GenAI solutions that accelerate innovation.

• Designing and implementing GenAI agents that support engineering tasks such as requirements analysis, documentation assistance, test interpretation, and failure analysis
• Building AI pipelines using LLMs, embeddings, vector databases, and domain‑specific knowledge sources
• Integrating AI agents with engineering tools, databases, and repositories (e.g., PLM systems, test data platforms, document repositories)
• Developing Retrieval‑Augmented Generation (RAG) pipelines for structured and semi‑structured engineering data
• Ensuring agent reliability, traceability, and safe behavior in regulated engineering environments
• Collaborating with domain experts to evaluate usability, performance, and fit for purpose
• Documenting architectures, APIs, integration points, and operational guidelines
• Working closely with security and compliance teams to ensure responsible and compliant AI usage

• Degree in Computer Science, Engineering, Data Science, or a comparable field
• Experience in GenAI development, agent orchestration, or AI‑assisted tooling
• Solid software engineering background (Python preferred; experience with APIs and microservices)
• Familiarity with structured and semi‑structured data formats (JSON, PDFs, engineering documentation, etc.)
• Understanding of LLM integration patterns, embeddings, and vector stores
• Knowledge of agent frameworks (e.g., LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP)
• Structured, reliable, and solution‑oriented working style
• Ability to collaborate with cross‑functional engineering teams
• Comfortable working in iterative, experimental environments
• Curious, proactive, and eager to explore new technologies
• Strong communication skills and a collaborative mindset
• Open to learning and working with diverse teams and perspectives
• Proficient in English

• experience with MLOps, AI observability, evaluation frameworks, or model deployment
• familiarity with PLM systems, engineering workflows, or compliance standards in automotive/industrial environments

• 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
• Flexible benefits platform
• Great access to public transports
• Free transport from Porto
• Free parking lot
• Canteen
• Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations
• company bike leasing, choice between a free ticket for core zone, a subsidized Klimaticket, or an employee parking space
• Flexitime and modern working time models ranging from part-time to job sharing, home office and incorporated window days off
• Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care
• workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch
• Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events
• Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens

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