GenAI Engineer - Engineering Automation (f/m/div.)

SmartRecruiters, Inc.; Braga; Presencial; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

On-site medical office

Career progression opportunities

Discounts with Bosch partners

Sports & health activities

Good public transport access

Resumo da oferta

Bosch Service Solutions in Lisbon is seeking a GenAI Engineer to design, prototype, and implement AI agents that support engineering workflows across Bosch. You translate complex engineering use cases into intelligent, reliable GenAI solutions that accelerate innovation.

Designing and implementing GenAI agents that support engineering tasks, building AI pipelines with LLMs, embeddings, vector databases, and domain‑specific knowledge sources.

Qualificações

• GenAI development experience and agent orchestration.
• Solid software engineering background with Python and APIs.
• Familiarity with structured and semi-structured data (JSON, PDFs, docs).
• Understanding of LLM integration, embeddings and vector stores.
• Experience with LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm or MCP.
• Nice to have: MLOps, AI observability, evaluation frameworks, or model deployment.
• Nice to have: familiarity with PLM systems, engineering workflows, or automotive/industrial compliance.

Responsabilidades

• Designing and implementing GenAI agents that support engineering tasks.
• Building AI pipelines using LLMs, embeddings, and vector stores.
• Integrating AI agents with engineering tools, databases and repositories.
• Developing Retrieval‑Augmented Generation pipelines for structured data.
• Ensuring agent reliability, traceability and safe behavior in regulated environments.
• Collaborating with domain experts to evaluate usability and performance.
• Documenting architectures, APIs, integration points, and guidelines.
• Working with security and compliance teams on responsible AI usage.

Conhecimentos

GenAI development

Agent orchestration

Python (preferred)

APIs & microservices

JSON / PDFs / docs

LLM integration

Embeddings / vector stores

LangChain / OpenAI Agents

MLOps familiarity

AI observability

Formação académica

Degree in Computer Science

Engineering / Data Science

Ferramentas

PLM systems

Embeddings

Descrição da oferta de emprego

• Full-time
• Legal Entity: Bosch Service Solutions S.A.

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

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.

Your contribution to something big:

• 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.

Qualifications

What distinguishes you:

Education

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

Experience

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

Languages

Proficient in English; German is a plus.

Working Style & Methods

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

Personality

• 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.

Additional Information

• Exchange with colleagues around the world
• Health insurance and medical office on site
• 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

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