Bosch Group: GenAI/Agentic AI specialists — bengaluru, India
Bosch Group lists a GenAI/Agentic AI specialists opening in bengaluru, India. The position is listed as full-time. The job description covers Python, AWS, Azure, Google Cloud, machine learning, AI, commercial negotiations.
Recruitment overview
| Organisation | Bosch Group |
|---|---|
| Post / role | GenAI/Agentic AI specialists |
| Employment type | Full-time |
| Notification / job ID | REF291546Q |
| Job location | bengaluru, India |
| Work arrangement | On-site |
| Educational qualification | Degree / qualification: BE/MCA |
| Experience required | 5 to 8 years of experience as Data Scientist |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Bosch Group
Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.
The position and its setting
Bosch Group lists GenAI/Agentic AI specialists in bengaluru, India, under reference REF291546Q. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 14 August 2026
- Contract type: Unlimited
- Legal Entity: Bosch Global Software Technologies Private Limited
- Brands: Bosch Group
Subjects named in the job description
The posting mentions the following work areas. These references are not a separate list of compulsory certifications.
- Python
- R
- AWS
- GCP
- Azure
- AI/ML
- LLMs
- Google Cloud
- machine learning
- AI
Essential requirements and candidate background
- 5 to 8 years of experience as Data Scientist
- 2 to 3 years of experience in Generative AI solution development
- Understanding: AI agent collaboration, negotiation, and autonomous decision-making
- Experience: developing and deploying AI agents that operate independently or collaboratively in complex environments
- Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents
- Proficiency: multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows
- Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning
- Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance
- Grasp of memory architectures, tool use, and action planning within AI agents
- Autonomy Score: Measures the degree of independence in decision-making
- Collaboration Efficiency: Evaluates the ability of agents to work together and share information
- Task Completion Rate: Tracks the percentage of tasks successfully executed by agents
- Response Time: Measures the latency in agent decision-making and execution
- Adaptability Index: Assesses how well agents adjust to changes in the environment
- Resource Utilization Efficiency: Evaluates computational and memory usage for optimization
- Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs
- Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct
- Knowledge Retention & Utilization: Measures how effectively agents recall and apply information
- Experience: LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc
- Expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs
Education and qualification routes
- Degree / qualification: BE/MCA
Experience and professional background
- Experience stated: 7-11 years
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: bengaluru, India
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another GenAI/Agentic AI specialists vacancy is not an offer for reference REF291546Q; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Bosch Group
Applications follow the official employer page linked below.
Open the official Bosch Group posting below and match the title and reference REF291546Q.
Compare your qualifications and experience with the essential conditions for the bengaluru, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- R
- AWS
- GCP
- Azure
- AI/ML
- LLMs
- Google Cloud
- machine learning
- AI
- commercial negotiations
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
For corrections, see our editorial policy and contact information.