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Robert Bosch Venture Capital

Venture capital funding deep tech startups

AI/GenAI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMiskolc, Hungary

About the Job

Requirements

  • At least three years of relevant professional experience in artificial intelligence, machine learning, data science, or software development.
  • Practical experience developing and operating AI or machine-learning solutions in production environments.
  • Experience collaborating on interdisciplinary software or IT projects.
  • Advanced Python knowledge and experience using relevant AI and machine-learning libraries.
  • Experience developing, evaluating, and deploying machine-learning solutions.
  • Experience with generative AI, retrieval-augmented generation, embeddings, vector search, and evaluating large language models.
  • Knowledge of agentic AI concepts, including orchestration, tool use, memory, and human-in-the-loop controls.
  • Practical experience with DevSecOps, MLOps, and GenAIOps, including LLMOps practices.
  • Experience using Git, APIs, automated testing, continuous integration and continuous delivery, and security scanning solutions.
  • Experience with containers, cloud deployments, monitoring, and tracing solutions.
  • Knowledge of version control for models, data, prompts, and evaluation datasets.
  • Practical cloud experience; Azure experience is preferred.
  • Knowledge of AI security, data privacy, and secure software development principles.
  • Strong analytical and structured problem-solving ability.
  • Ability to take responsibility and work independently.
  • Good communication and stakeholder-management skills.
  • Ability to connect technical solutions with measurable business value.
  • Business-fluent English.

Responsibilities

  • Identify business challenges and translate them into feasible AI solutions with measurable key performance indicators.
  • Develop predictive analytics, machine-learning, and generative AI applications.
  • Design generative AI solutions using foundation models, prompt engineering, retrieval-augmented generation, embeddings, and vector search.
  • Develop agentic AI applications using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, CrewAI, or similar technologies.
  • Integrate AI components into enterprise applications, data platforms, and business processes through APIs.
  • Evaluate solutions for quality, performance, scalability, security, and operating costs.
  • Develop AI solutions from prototype through secure and reliable production services.
  • Implement automated testing, continuous integration and continuous delivery pipelines, and reproducible deployment procedures.
  • Apply DevSecOps principles, including security-by-design, automated security checks, and vulnerability management.
  • Version and manage code, data, models, prompts, configurations, and evaluation datasets.
  • Apply containerization and infrastructure as code where appropriate.
  • Establish automated quality and security gates and controlled deployment, rollback, and recovery mechanisms.
  • Monitor model and data drift, output quality, groundedness, security, latency, availability, failures, and operating costs.
  • Maintain, update, retrain, and continuously evaluate deployed AI solutions.
  • Analyze incidents, remediate vulnerabilities, and support controlled decommissioning.
  • Collaborate with business, IT, data governance, cybersecurity, and platform teams.
  • Communicate AI capabilities, limitations, and technology trade-offs to technical and non-technical stakeholders.
  • Facilitate workshops to support use-case discovery and solution design.
  • Develop reusable technical patterns, guidelines, and best practices.
  • Support teams in adopting AI, DevSecOps, MLOps, and GenAIOps technologies.

Desired Qualifications

  • German or Hungarian language knowledge.

About the Company

Robert Bosch Venture Capital

Venture capital funding deep tech startups

RBVC (Robert Bosch Venture Capital) is a global venture capital firm that backs early-stage deep tech startups in areas like energy efficiency, medical devices, and virtual/augmented reality. It supports companies with funding and access to Bosch’s network and resources to help them scale and bring innovations to market. Unlike traditional VCs, RBVC may purchase solutions for a proof-of-concept while allowing startups to keep their intellectual property, which speeds up development and lowers upfront costs. The firm earns money through equity investments and the eventual success of its portfolio. RBVC’s goal is to accelerate technological advances across multiple industries by connecting startups with Bosch’s ecosystem, customers (from medical centers to data centers), and global reach.

Company size
201-500
Company stage
Not listed
Total funding
$3.8B
Headquarters
Frankfurt, Germany
Founded
2007

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