Siemens
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Bengaluru · On-site · 5-8 Yrs · Sep 20
Electronics Manufacturing · 10000+ Employees · Munich, Germany
At Siemens India, we believe in transforming the everyday through innovation, technology, and sustainability. By pioneering digital transformation with AI, IoT, and automation, we optimize efficiency across industries. With our technology, we combine the real and the digital worlds like no other. Bringing together software and hardware to do more with less and accelerate sustainable innovation. Which one of them suits you best?
Hiring: Engineering
What employees say
+ Great Work Environment, Very less work load overall throughout the year
− Management might be clueless about their decisions sometimes, and it backfires sometimes.
More reviews on the company profile.
Interview experience · Process Associate - Finance & Procurement Services
First they screened the resume and shortlisted people received an invitation to walk in interview. The interviews happened in a team lead level. The interview questions ranged from about the person to theoretical questi
Average difficulty · Bengaluru · 1,098 reports
More interview insightsJob description
Overview
We empower our people to stay resilient and relevant in a constantly changing world.
Responsibilities
- Design, develop, and deploy LLM-powered applications (chatbots, copilots, document intelligence systems) Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge use cases
- Develop AI agents and autonomous workflows using modern frameworks Perform prompt engineering and evaluation to improve output quality
- Integrate GenAI models with enterprise systems, APIs, and data sources Fine-tune or adapt foundation models (e.g., GPT, LLaMA, multimodal models, SLM's) Build scalable pipelines covering data ingestion, embeddings, retrieval, and generation
- Implement LLMOps practices (monitoring, evaluation, versioning, cost optimization) Ensure security, governance, and responsible AI practices
- Collaborate with product, data, and platform teams to deliver business solutions These responsibilities reflect real-world roles involving RAG pipelines, agent workflows, and production-grade GenAI systems.
Qualifications
- Hands-on experience with:
- Prompt engineering
- Embeddings & vector databases (FAISS, Pinecone, Qdrant, etc.), RAG architectures
- Knowledge of deep learning frameworks (PyTorch, TensorFlow)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Understanding of MLOps / LLMOps practices
- Modern GenAI roles emphasize LLM integration, prompt workflows, and enterprise data pipelines
- Knowledge of multimodal AI (text, image)
- Familiarity with knowledge graphs or semantic search systems
- Exposure to UI frameworks (Streamlit, Gradio) for GenAI apps
- Many roles now include agent-based systems and multimodal AI capabilities as differentiators.
- Create a better #TomorrowWithUs!
- This role is based in Bangalore, where youll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.
- We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
- Were Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.
- Find out more about Siemens careers at: www.siemens.com/careers
- Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds .
Verify Software Engineer for this role
Free PRACTICE for Software Engineer adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Software Engineer free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 28 September 2026
- How do I apply for Generative AI Engineer at Siemens?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Siemens may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Generative AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Generative AI Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Generative AI Engineer role at Siemens?
- This is a mid-level Generative AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.