AI Engineer

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.

Additional Information :

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status. 

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Work :

No

Employment Type :

Full-time