Job Description & How to Apply Below
AI Engineer (Applied AI – Full Stack Foundations)
Location:
Bangalore
Experience:
9–15 Years
About the Role
We are looking for an experienced AI Engineer with strong computer science fundamentals and proven expertise in designing and delivering end-to-end AI solutions. This role is ideal for someone with deep knowledge of data structures, algorithms, and system design, combined with hands-on experience integrating AI into modern web and mobile platforms.
Key Responsibilities
AI Solution Development
- Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), intelligent search, and automation capabilities.
- Build robust end-to-end pipelines that process large-scale data with high reliability and low latency.
- Optimize models and workflows for performance, scalability, and efficiency.
Platform Integration & Innovation
- Integrate AI services into digital platform ecosystems to ensure seamless user experiences.
- Translate research concepts into production-ready AI solutions.
- Continuously enhance platform capabilities through clean, maintainable, and well-tested code.
Collaboration & Problem Solving
- Work closely with product teams, researchers, and domain experts to define and deliver AI solutions.
- Solve complex engineering challenges balancing theoretical rigor with real-world constraints.
Required Skills & Expertise
- Strong foundation in Data Structures, Algorithms, and System Design.
- Hands-on experience in Applied AI & Machine Learning.
- Expertise in LLMs and RAG architectures.
- Proficiency in Python.
- Experience designing scalable APIs and full-stack solutions (MEAN stack preferred).
- Strong analytical and problem-solving skills.
- Understanding of applied AI techniques such as recommendation systems, anomaly detection, and NLP.
Qualifications
- Education:
B.Tech (Computer Science, Engineering, or related field) — mandatory.
- Proven professional experience building and deploying AI/ML solutions in production environments.
- Experience working with industrial or enterprise-scale systems is a plus.
Why This Role
- Work on cutting-edge AI solutions that power real-world systems.
- Opportunity to build intelligent platforms used in mission-critical environments.
- High-impact role influencing innovation, performance, and automation at scale.
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