AI Engineer

Job Description

Role Purpose:

Full-Stack AI Engineer (3+ Years Experience)

A Design, develop, and deploy end-to-end AI-powered applications, combining sophisticated Generative AI agents and RAG pipelines with robust full-stack architectures.

Key Accountabilities

· AI Orchestration: Build and optimize autonomous agents and multi-agent systems using LLM gateways and advanced orchestration frameworks.

· RAG Architecture: Design production-grade RAG pipelines utilizing various Vector DBs and complex design patterns (hybrid search, query rewriting).

· Full-Stack Development: Develop interactive AI interfaces in React JS and build scalable, secure backend services using Java.

· Cloud Infrastructure: Develop and deploy the entire stack on AWS, ensuring seamless integration between AI models and application layers.

Key Soft Skills

· Analytical Thinking: Strong problem-solving skills with a focus on algorithm design.

· Adaptability: Passion for staying current with rapidly evolving AI and Full-Stack frameworks.

Qualifications

· Experience: 3+ years of professional experience in AI/ML and software engineering.

· AI/ML Core: Expert Python proficiency; deep knowledge of LLMs, Prompt Engineering, and RAG.

· Frontend: Hands-on experience with React JS for building data-driven dashboards and AI interfaces.

· Backend: Hands-on in Java (Spring Boot preferred) for creating enterprise-grade APIs and microservices.

· Data & Cloud: Experience with Vector Databases (e.g., Pinecone, Weaviate) and AWS (Lambda, ECS).

· Education: Degree in Computer Science, AI, Engineering, or a related field.