Job description
Dear Aspirant! 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 Engineer (3–5 Years Experience) You’ll make an impact by: · 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! · Bachelor’s or master’s degree in computer science, AI, Data Science, or related field · Experience 3–5 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.) · Hands-on experience with: 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. · Preferred Skills (Good to Have) - 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. Create a better #TomorrowWithUs! This role is based in Bangalore, where you’ll 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. 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. 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
This job post has been translated by AI and may contain minor differences or errors.
