GenAI Engineer (f/m/div.)

Bosch Group; Braga; Presencial; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work conditions

Health insurance

Training opportunities

Access to Bosch product discounts

Free transport from Porto

Canteen

Resumo da oferta

Bosch Group in Braga, Portugal is seeking a GenAI Engineer to design and implement AI agents that improve engineering workflows. The successful candidate will be responsible for integrating AI technologies into engineering processes, ensuring reliability and compliance, while collaborating with cross-functional teams.

Qualifications include a relevant degree, experience in GenAI development, a solid background in software engineering (Python preferred), and skills in LLM integration. The position offers a hybrid working model and generous benefits.

Qualificações

• Experience in GenAI development or AI-assisted tooling.
• Solid software engineering background primarily with Python.
• Knowledge of PLM systems and compliance is an advantage.

Responsabilidades

• Design and implement GenAI agents for engineering tasks.
• Build and maintain AI pipelines with LLMs and embeddings.
• Integrate AI agents with various engineering tools and databases.

Conhecimentos

GenAI development

Python

LLM integration patterns

Agent frameworks (LangChain, etc.)

MLOps

Structured data handling

Engineering documentation

Formação académica

Degree in Computer Science, Engineering, Data Science, or a related field

Ferramentas

APIs

Microservices

Vector databases

Descrição da oferta de emprego

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

Key Responsibilities

• Design and implement GenAI agents to support engineering tasks such as requirements analysis, documentation assistance, test interpretation, and failure analysis.
• Build and maintain AI pipelines using LLMs, embeddings, vector databases, and domain‑specific knowledge sources.
• Integrate AI agents with engineering tools, databases, and repositories (e.g., PLM systems, test data platforms, document management systems).
• Develop Retrieval‑Augmented Generation (RAG) pipelines for structured and semi‑structured engineering data.
• Ensure agent reliability, traceability, and safe behavior in regulated engineering environments.
• Collaborate with domain experts to evaluate usability, performance, and fitness for purpose.
• Document system architectures, APIs, integration points, and operational guidelines.
• Work closely with security and compliance teams to ensure responsible and compliant AI usage.

Education

• Degree in Computer Science, Engineering, Data Science, or a related field.

Experience

• Experience in GenAI development, agent orchestration, or AI‑assisted tooling.
• Solid software engineering background (Python preferred; experience with APIs and microservices).
• Experience working with structured and semi‑structured data (JSON, PDFs, engineering documentation, etc.).

Know‑How

• Strong understanding of LLM integration patterns, embeddings, and vector databases.
• Knowledge of agent frameworks (e.g., LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP).
• Experience with MLOps, AI observability, evaluation frameworks, or model deployment is a plus.
• Familiarity with PLM systems, engineering workflows, or compliance standards in automotive/industrial environments is an advantage.

Languages

• Proficient in English (German is a plus).

Working Style & Methods

• Structured, reliable, and solution‑oriented working style.
• Ability to collaborate effectively with cross‑functional engineering teams.
• Comfortable working in iterative and experimental environments.

Personality

• Curious, proactive, and eager to explore new technologies.
• Strong communication skills and collaborative mindset.
• Open to learning and working with diverse teams and perspectives.

Benefits

• 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 (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