Senior Software Developer (AI Agent Developer)

Bosch; Hong Kong; On-site; HKD 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Performance bonus

15 days annual leave

Life and accident insurance coverage

Medical and dental coverage

Staff purchase privileges

Job summary

Bosch in Hong Kong seeks an experienced AI Agent Developer to design, build, deploy, and optimize autonomous AI agents that automate business processes and support decision-making. The role combines Generative AI, LLMs, and enterprise integration to deliver scalable AI-driven solutions.

The ideal candidate will have extensive Python experience, expertise with Azure AI Services, and a strong background in building RESTful microservices. Bosch offers a dynamic, innovation-driven environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field.
• 5+ years of software development experience.
• Strong proficiency in Python, including hands-on experience building asynchronous services with FastAPI.
• Solid Database knowledge across SQL and NoSQL databases.
• Hands-on experience with Microsoft Azure services (Azure AI Services / Azure OpenAI, Azure AI Search, Blob Storage).
• Hands-on experience with Generative AI solutions, LLMs, RAG pipelines and agentic workflows.
• Experience with code-first AI agent and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, LangChain).
• Experience with REST APIs, microservices, and cloud-native architectures.
• Strong understanding of prompt engineering, vector databases, embeddings, and RAG architectures.
• Experience with containerization and deploying applications to container orchestration platforms (Docker, OpenShift or Kubernetes).
• Experience with version control and CI/CD pipelines.

Responsibilities

• Design and develop autonomous and semi-autonomous AI agents using modern agent frameworks.
• Build scalable, high-performance backend microservices, asynchronous workers, and RESTful APIs using Python and FastAPI.
• Design, optimize, and maintain relational and non-relational database schemas, queries, and data storage layers supporting AI workflows.
• Integrate with and consume enterprise data from Databricks, Azure Blob Storage, and internal data lakes to power agent workflows and RAG pipelines.
• Leverage Azure Cloud & AI Services for scalable model serving, storage, and retrieval.
• Build and maintain multi-agent systems that collaborate to achieve business objectives.
• Develop AI workflows leveraging LLMs, retrieval-augmented generation (RAG), and knowledge management systems.
• Integrate AI agents with enterprise applications, APIs, databases, ERP, CRM, procurement, and workflow platforms.
• Create tools, plugins, and function-calling capabilities enabling agents to execute business actions.
• Implement prompt engineering, reasoning workflows, memory management, and agent orchestration strategies.
• Ensure backend and AI solutions meet security, compliance, privacy, and governance requirements.
• Monitor, evaluate, and optimize agent performance, accuracy, latency, and cost efficiency.
• Collaborate with business stakeholders to identify and prioritize AI automation opportunities.
• Document architecture, deployment procedures, and technical designs.
• Stay current with advancements in Generative AI, agentic AI, and emerging technologies.

Skills

Python programming

Async services

REST APIs design

Cloud-native architectures

Team collaboration

Education

Bachelor's or Master's in CS/AI/DS/SE

Tools

FastAPI

Azure AI Services

Azure OpenAI

Azure AI Search

LangGraph

AutoGen

CrewAI

LangChain

Docker

Kubernetes

OpenShift

Job description

Company Description

The Bosch Group is a leading global supplier of technology and services. It employs roughly 413,000 associates worldwide (as of December 31, 2025). The company generated sales of 91 billion euros in 2025. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, digitalization, electrification, and artificial intelligence. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in hardware, software, and service to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture intelligent, user-friendly, and sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 500 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. Bosch employs some 82,000 associates in research and development.

Job Description

Role Overview

We are seeking a highly skilled AI Agent Developer to design, develop, deploy, and optimize intelligent AI agents that automate business processes, support decision-making, and enhance user experiences. The ideal candidate will combine expertise in Generative AI, Large Language Models (LLMs), agent orchestration frameworks, API integrations, and enterprise architecture to build scalable AI-driven solutions.

Key Responsibilities

• Design and develop autonomous and semi-autonomous AI agents using modern agent frameworks.


• Build scalable, high-performance backend microservices, asynchronous workers, and RESTful APIs using Python and FastAPI.


• Design, optimize, and maintain relational and non-relational database schemas, queries, and data storage layers supporting AI workflows.


• Integrate with and consume curated enterprise data from Databricks, Azure Blob Storage, and internal data lakes to power agent workflows and RAG pipelines.


• Leverage Azure Cloud & AI Services (e.g., Blob Storage, Azure OpenAI, Azure AI Search) for scalable model serving, storage, and retrieval.


• Build and maintain multi-agent systems that collaborate to achieve business objectives.


• Develop AI workflows leveraging LLMs, retrieval-augmented generation (RAG), and knowledge management systems.


• Integrate AI agents with enterprise applications, APIs, databases, ERP, CRM, procurement, and workflow platforms.


• Create tools, plugins, and function-calling capabilities enabling agents to execute business actions.


• Implement prompt engineering, reasoning workflows, memory management, and agent orchestration strategies.


• Ensure backend and AI solutions meet security, compliance, privacy, and governance requirements.


• Monitor, evaluate, and optimize agent performance, accuracy, latency, and cost efficiency.


• Collaborate with business stakeholders to identify and prioritize AI automation opportunities.


• Document architecture, deployment procedures, and technical designs.


• Stay current with advancements in Generative AI, agentic AI, and emerging technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field.


• 5+ years of software development experience.


• Strong proficiency in Python, including hands-on experience building asynchronous services with FastAPI.


• Solid database knowledge, including data modeling, indexing, and query optimization across relational (SQL) and/or NoSQL databases.


• Hands-on experience with Microsoft Azure services (Azure AI Services / Azure OpenAI, Azure AI Search, Blob Storage).


• Hands-on experience with Generative AI solutions, Large Language Models, RAG pipelines and agentic workflows.


• Experience with code-first AI agent and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, LangChain).


• Experience with REST APIs, microservices, and cloud-native architectures.


• Strong understanding of prompt engineering, vector databases, embeddings, and RAG architectures.


• Experience with containerization and deploying applications to container orchestration platforms (such as Docker, OpenShift or Kubernetes).


• Experience with version control and CI/CD pipelines.

Preferred Qualifications

• Experience building enterprise AI solutions.


• Knowledge of procurement and supply chain processes.


• Understanding of AI governance, Responsible AI, and model evaluation frameworks.


• Cloud certifications (Azure AI Engineer, Azure Solutions Architect, etc.).


• Knowledge of frontend framework (Next.js, ReactJS) is a plus.

Additional Information

• performance bonus


• 15-day annual leave


• life and accident insurance coverage


• generous medical and dental coverage


• staff purchase privileges in addition to a 5-day work week

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