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: Graduate Trainee Engineer

You’ll make an impact by:

• Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and
• techniques (NER, embeddings, summarization, etc.).
• Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications.
• Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases.
• Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems.
• Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases.
• Continuously monitor and improve model performance, latency, and accuracy in production settings.
• Implement observability, performance monitoring, and explainability features in deployed models.
• Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability.

Use your skills to move the world forward!

• Master’s or Bachelor’s degree in Computer Science, Machine Learning, AI, or a related field.
• Exposure in AI/ML, with knowlegde in NLP and Generative AI.
• Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search.
• Experience in designing and deploying RAG pipelines and working with multi-step agent
• architectures.
• Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc.
• Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs).
• Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry.
• Experience in integrating LLM-based agents in production environments.
• Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues).
• Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems.
• Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines.
• Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus..

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’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.