Siemens Off Campus Job Update | Agentic AI Engineer Role | Bangalore

Siemens Off Campus 2025:

Siemens Career 2025 Responsibilities:

• Designing and developing agentic AI architectures, including autonomous agents, tool-using agents, multi-agent systems, and workflow orchestration.
• Building and optimizing LLM-driven agents capable of reasoning, planning, retrieving knowledge, and executing tasks end-to-end.
• Configuring and integrating agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or internally developed frameworks.
• Developing modular tools, functions, and APIs that agents use to take actions autonomously.
• Implementing memory, context management, vector stores, and retrieval pipelines to support agent intelligence.
• Building evaluation pipelines to measure agent reliability, accuracy, and failure-mode behaviour.
• Developing scalable backend services using Python/Node that interact with agentic systems.
• Implementing CI/CD pipelines and use containerization technologies (Docker/Kubernetes) for production deployment.
• Integrating agents with enterprise systems, microservices, cloud services, and data platforms.
• Conducting POCs, model comparisons, and runtime optimizations to improve agent performance and cost efficiency.
• Working closely with product, engineering, and domain teams to build agent-powered solutions tailored to business needs.
• Staying updated with the latest advancements in LLMs, agent frameworks, reasoning engines, and cognitive architectures.
• Preparing clear documentation, architecture diagrams, and operational guidelines for agentic solutions.

Siemens off campus Eligibility Criteria:

• Bachelor’s Degree.

Preferred skill:

• Strong programming skills in Python, with experience in building AI/ML applications.
• Hands-on experience with LLM integration, prompt engineering, and multi-step reasoning.
• Experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, OpenAI Assistants API, CrewAI, or equivalents.
• Solid understanding of AI/ML fundamentals, GenAI models (LLMs, embeddings), and model fine-tuning.
• Experience building and integrating REST APIs, microservices, and backend services.
• Proficiency in Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD pipelines (GitHub Actions, GitLab, Jenkins, etc.).
• Familiarity with vector databases (FAISS, Pinecone, Chroma, Weaviate) and RAG pipelines.
• Ability to design autonomous systems with safety, guardrails, observability, and fallback mechanisms.
• Strong debugging, problem-solving, and system-design skills.
• Ability to work collaboratively in an agile environment, handling fast-paced experimentation and iteration.

Click here for HR Interview Questions and Answers

SiemensRecruitment Selection Process:

The Siemens selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join Siemens?

• Work-life balance: Competitive pay, comprehensive benefits, and flexible work schedules
• Professional development: Job training, conferences, and opportunities for career advancement
• Financial and retirement: 401(k) and performance bonuses
• Child care and parental leave: Adoption assistance
• Office perks: Company-sponsored outings
• Health insurance and wellness: Dental insurance
• Vacation and time off: Paid volunteer time