Generative AI Engineer at Siemens in Bangalore,Karnataka,India
- Company: Siemens
- Location: Bangalore,Karnataka,India
- Posted: Sep 17, 2026
- Type: Full-time
- Experience: 5+ years
- Visa sponsorship available
Overview
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great ad…
Job description
- We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.
- We are looking for: Senior Software Engineer - Generative AI
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.
- Use your skills to move the world forward!
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- 5+ years of experience in software/ML engineering
- At least 1–2 years of hands-on experience in Generative AI / LLM-based systems
- Strong programming skills in Python
- Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.)
- Prompt engineering
- Embeddings & vector databases (FAISS, Pinecone, Qdrant, etc.), RAG architectures
- Experience with frameworks like LangChain, LlamaIndex, ADK, or similar
- Knowledge of deep learning frameworks (PyTorch, TensorFlow)
- Experience with API development and microservices
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Understanding of MLOps / LLMOps practices
- Modern GenAI roles emphasize LLM integration, prompt workflows, and enterprise data pipelines
- Experience with agentic AI frameworks (LangGraph, CrewAI, ADK, etc.)
- Knowledge of multimodal AI (text, image)
- Experience in fine-tuning or adapting foundation models
- Familiarity with knowledge graphs or semantic search systems
- Experience building AI copilots or automation systems
- Exposure to UI frameworks (Streamlit, Gradio) for GenAI apps
- Many roles now include agent-based systems and multimodal AI capabilities as differentiators.
Skills
Required
- Python
- Prompt engineering
- RAG architectures
- LangChain, LlamaIndex, ADK, or similar
- API development and microservices
- Cloud platforms (AWS, Azure, GCP)
- MLOps / LLMOps practices
Preferred
- Multimodal AI (text, image)
- AI copilots or automation systems
- UI frameworks (Streamlit, Gradio)
About Siemens
We’re 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.