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Bosch Group

Bosch Group

[BD] Senior AI Developer (Agentic AI & Enterprise Platforms)

Role

[BD] Senior AI Developer (Agentic AI & Enterprise Platforms)

Job type

Full-time

Found on Mokaru

🔥1 hour ago

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Salary

Not disclosed by employer

Job description

Build Real-World Agentic AI at Enterprise Scale

Join Bosch Vietnam’s Global Product & Service organization to help build next-generation AI-native workflow platforms used by 500,000+ users worldwide. We are transforming enterprise workflow systems into intelligent AI-driven platforms capable of understanding requirements, generating applications and workflows, validating outputs, and continuously improving through feedback and learning.

We are looking for a Senior AI Developer who combines strong AI engineering expertise, full-stack engineering capability, and product-oriented mindset to build scalable, production-grade AI systems for real enterprise environments. This is not a proof-of-concept role — you will work on real AI systems deployed at enterprise scale with measurable business impact.

What You Will Do

AI Engineering & Agentic AI Development

  • Design, develop, and deploy AI-powered capabilities for enterprise workflow platforms
  • Build and improve Agentic AI systems for workflow generation, application generation, and intelligent automation
  • Develop AI solutions using LLMs, RAG pipelines, agent orchestration frameworks, and structured AI workflows
  • Improve AI reliability, accuracy, scalability, and operational quality

AI Platform & Data Engineering

  • Build pipelines to extract, structure, and transform enterprise and legacy system data into AI-ready datasets
  • Work with ETL/ELT pipelines, vector databases, graph databases, search, and indexing systems
  • Support AI lifecycle management including training, evaluation, deployment, monitoring, and optimization
  • Contribute to AI observability, evaluation frameworks, and quality monitoring systems

Full-Stack & Enterprise System Integration

  • Collaborate with Product, Engineering, QA, and Architecture teams to integrate AI capabilities into enterprise platforms
  • Support AI-driven workflow automation, intelligent routing, predictive insights, and modernization initiatives
  • Work with cloud-native architectures, microservices, APIs, and scalable enterprise systems
  • Contribute to security, governance, and operational best practices for AI systems

Technical Leadership & Collaboration

  • Mentor engineers and contribute to AI engineering standards and best practices
  • Drive problem-solving and technical discussions across global teams
  • Help translate complex business workflows into scalable AI-powered solutions

Must-Have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or related fields
  • 7+ years of software engineering experience, including strong hands-on AI/ML system development experience
  • Expert-level Python programming skills
  • Hands-on experience with LLMs, Generative AI, RAG pipelines, prompt engineering, and AI agent orchestration frameworks
  • Strong experience building scalable, production-grade enterprise systems
  • Experience with APIs, microservices, cloud platforms, and distributed systems
  • Strong understanding of data engineering, ETL pipelines, and large-scale data processing
  • Experience with MLOps/LLMOps practices, CI/CD, containers, and cloud environments
  • Strong analytical thinking, problem-solving, and communication skills

Nice-to-Have

  • Experience with LangChain, LangGraph, or equivalent AI orchestration frameworks
  • Experience modernizing legacy systems or enterprise workflow platforms
  • Exposure to Low-Code / No-Code or business process automation platforms
  • Experience with vector databases, graph databases, or AI observability tools
  • Knowledge of AI performance optimization, inference optimization, or model efficiency techniques

Application Requirement

  • Please include a short written: describe the most impactful AI system or AI-related solution you have built or contributed to. What problem did it solve, what was your role, and what business or technical outcome did it achieve?
  • Optional: GitHub, portfolio, demos, technical blogs, or AI-related project references.

Why Join Us?

  • Build enterprise AI systems used by hundreds of thousands of users worldwide
  • Work on large-scale Agentic AI and AI-native workflow transformation initiatives
  • Collaborate with global Product, Engineering, and AI teams
  • Solve complex real-world enterprise AI challenges with measurable business impact
  • Competitive compensation and 13th-month bonus
  • Premium healthcare and accident insurance
  • Flexible and international working environment
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