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Senior AI Engineer
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- Posted 16 hours ago
- Be among the first 10 applicants
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 AI Engineer
You'll Make An Impact By
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 #STS
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 AI Engineer
You'll Make An Impact By
- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build AI-powered applications using LLMs, RAG, and AI agents.
- Integrate AI solutions with enterprise systems and business workflows.
- Develop and maintain data pipelines, APIs, and AI services.
- Deploy, monitor, and optimize AI models in production environments.
- Ensure AI solutions are secure, scalable, compliant, and aligned with Responsible AI principles.
- Collaborate with product owners, architects, software engineers, and business stakeholders to solve business problems using AI.
- B.E/B. Tech/M. Tech (Computer Science, Information Science, Electronics).
- Overall, 4-8 years of experience.
- Python and Software Development, Machine Learning & Deep Learning
- Generative AI & Large Language Models (LLMs), Prompt Engineering
- RAG (Retrieval-Augmented Generation), AI Agent Frameworks
- Vector Databases & Semantic Search, API Development & Microservices
- Docker, Kubernetes, CI/CD, Cloud Platforms (Azure, AWS, GCP)
- Data & AI Skills, Data Engineering and Data Analytics
- SQL/NoSQL Databases, Model Evaluation and Optimization
- MLOps and AI Operations, AI Governance and Responsible AI Practices.
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 #STS
More Info
Job Type:
Industry:
Employment Type:
Key Skills
AI Governance
Cloud Platforms (Azure
Vector Databases
AI Operations
Responsible AI Practices
Generative AI
AI Agent Frameworks
Model Evaluation and Optimization
GCP)
NoSQL Databases
CI/CD
Prompt Engineering
Large Language Models (LLMs)



