Bosch Group: Senior Agentic Software Engineer — Plymouth, MI, United States

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 Senior Agentic Software Engineer in Plymouth, MI, United States, under reference REF288719U. 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: 23 October 2026
• Contract type: Unlimited
• Legal Entity: ETAS Inc.
• Brands: ETAS

Responsibilities and work described

• In VIS (Vehicle Information Solutions), an ETAS organization, we are seeking an experienced and innovative Senior Agentic Software Engineer to develop and deploy our next-generation, production-grade AI systems
• In this role, you will be responsible for orchestrating robust Python-based back-end architecture, integrating state-of-the-art Large Language Models (LLMs), optimizing high-performance vector databases, and deploying scalable, secure APIs natively on Microsoft Azure
• Work: closely with our Original Equipment Manufacturers (OEM) customers to agree on new requirements, develop plans to deliver solutions using Agile processes, and ensure strict adherence to software quality standards throughout the development lifecycle
• VIS is a global ETAS organization supporting leading automotive OEMs and dealer networks with service information, wiring diagrams, technical knowledge, and digital aftersales solutions
• VIS is transforming from a traditional technical-content provider into a Vehicle Intelligence partner, leveraging AI, automation, and automotive expertise to support software-defined vehicles and future workshop experience
• Own problems end-to-end: from understanding the user’s needs through architecture, implementation, verification, and operation
• Delivery: implementation primarily through AI coding agents: translate intent into precise specs, constraints, and acceptance criteria, and supervise multiple agent work streams in parallel
• Apply human judgment where it matters most: architecture decisions, trade-offs, edge cases, and critical review of agent output - accountable for correctness, security, and maintainability of everything merged
• Design: for verifiability: tests, typed interfaces, CI gates, and evals that allow agent-produced code to be correct rather than trusted
• Work: across frontend, backend, infrastructure, DevOps, and data topics as the problem requires
• Continuously evolve the personal and team development workflow as models and agent capabilities advance

Essential requirements and candidate background

• Thorough understanding of software engineering fundamentals - architecture, system design, testing strategy, debugging
• Infrastructure and DevOps competence: cloud platforms, CI/CD pipelines, containerization, infrastructure as code, and operating what is built
• Communication skills: expressing intent, requirements, and constraints clearly and unambiguously, in writing and in discussion
• Ability to build relationships with customers, preferably in the automotive industry
• Abstraction skills: decomposing complex problems, choosing the right level of abstraction, and recognizing patterns that generalize across domains
• Hands-on production experience with agentic coding tools (e.g. Claude Code, GitHub Copilot agents), including running several agents in parallel and running agents unattended in automated pipelines
• Product thinking: able to translate user and business intent into specifications precise enough for autonomous execution
• Prompt and context engineering: writing instructions, specs, and repo conventions that agents follow reliably
• Verification mindset - treats generated code as untrusted until independently checked
• Adaptability: productive in unfamiliar languages, frameworks, and domains, with security awareness for AI-assisted development (secret handling, prompt injection, supply-chain risks)
• Bachelor’s Degree in Software Engineering, Computer Science, or similar field of study

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Hybrid
• Advertised location: Plymouth, MI, United States

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Agentic Software Engineer vacancy is not an offer for reference REF288719U; 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 REF288719U.

Compare your qualifications and experience with the essential conditions for the Plymouth, MI, United States 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
• CI/CD
• Azure
• APIs
• AI/ML
• LLMs
• AI
• communication