Senior AI Developer (Agentic AI & Enterprise Platforms) at Bosch

Confirmed open

Bosch is recruiting for the Senior AI Developer (Agentic AI & Enterprise Platforms) role in Ho Chi Minh, Vietnam. The work includes design, develop, and deploy AI-powered capabilities for enterprise workflow platforms.

Bosch

Search jobs by company: Bosch

Location: Ho Chi Minh, Vietnam
Employment: Full-time
Technologies: Python

See how to apply

Save job — free account Saved jobs

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

By continuing, you agree to processing needed to manage your account and profile. Privacy policy

Role overview

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.

Responsibilities

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.
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.
Help with AI lifecycle management including training, evaluation, deployment, monitoring, and optimization.
Contribute to AI observability, evaluation frameworks, and quality monitoring systems.
Collaborate with Product, Engineering, QA, and Architecture teams to integrate AI capabilities into enterprise platforms.
Help with 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.
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.

Qualifications

Nice-to-Have.
Application Requirement.
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 in LLMs, Generative AI, RAG pipelines, prompt engineering, and AI agent orchestration frameworks.
Strong experience building scalable, production-grade enterprise systems.
experience in APIs, microservices, cloud platforms, and distributed systems.
Strong understanding of data engineering, ETL pipelines, and large-scale data processing.
experience in MLOps/LLMOps practices, CI/CD, containers, and cloud environments.
Strong analytical thinking, problem-solving, and communication skills.
experience in 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 in vector databases, graph databases, or AI observability tools.
Understanding of AI performance optimization, inference optimization, or model efficiency techniques.
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.

Technology in this role

Python: Expert-level Python programming .
RAG: Develop AI solutions using LLMs, RAG pipelines, agent orchestration frameworks, and structured AI .
LangChain: experience in LangChain, LangGraph, or equivalent AI orchestration .
CI/CD: experience in MLOps/LLMOps practices, CI/CD, containers, and cloud .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This [BD] Senior AI Developer (Agentic AI & Enterprise Platforms) position at Bosch is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Build Real-World Agentic AI at Enterprise Scale.” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “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.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work.

Benefits

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.

About Bosch

Bosch Global Software Technologies develops engineering and software solutions within the Bosch Group. Its Vietnam development centre is based in Ho Chi Minh City and works with international teams.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

Browse job categories

Python AI and machine learning engineer jobs in Vietnam