AI Engineer
Job Description
3M is seeking an experienced AI Engineer to join their innovative team in Bangalore. This role combines cutting-edge AI development with practical business applications, focusing on building and deploying AI-driven solutions that enhance 3M's product offerings. The position requires expertise in both traditional AI development and modern generative AI technologies, including RAG systems and LLMs.
The ideal candidate will be responsible for designing and implementing full-stack AI applications, optimizing model performance, and ensuring seamless integration with existing systems. This role offers the opportunity to work with state-of-the-art AI technologies while solving complex business challenges at a global scale.
3M provides an environment that encourages innovation and creativity, with a strong focus on applying scientific solutions to real-world problems. The company's long-standing reputation for innovation and its global presence offer excellent opportunities for professional growth and impact.
The role requires a blend of technical expertise in AI/ML, software engineering skills, and strong collaborative abilities. You'll work closely with cross-functional teams, including product managers, data scientists, and software engineers, to deliver innovative AI solutions that drive business value.
Key technical areas include generative AI, large language models, RAG systems, and MLOps practices. The position offers exposure to cloud platforms and the opportunity to work on cutting-edge AI applications while maintaining a focus on practical, scalable solutions.
Responsibilities For AI Engineer
- Build full-stack AI applications, including Retrieval-Augmented Generation (RAG), AI agentic systems, and intuitive UI/UX interfaces
- Develop AI-driven features using pre-trained models, APIs, prompt engineering, and custom integrations
- Evaluate, select, and fine-tune large language models (LLMs)
- Optimize AI models and algorithms for efficiency, latency, and scalability
- Collaborate with product managers, software engineers, data scientists, and project managers
- Stay current with latest AI technologies, practices, tools, and methodologies
Requirements For AI Engineer
- Bachelor's degree in computer science, Artificial Intelligence, Data Science, or related field
- 5+ years of experience building full-stack AI applications
- 1+ year specifically in Generative AI
- Proven expertise in AI applications, including RAG solutions, AI agentic systems, and UI/UX design
- Experience evaluating, fine-tuning, and deploying large language models (LLMs)
- Strong skills in prompt engineering and model optimization
- Excellent communication and collaboration skills
- Familiarity with MLOps practices
- Experience deploying AI applications on cloud platforms (AWS, Azure, GCP)
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