AI Engineer

Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.

A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.

To learn more visit: www.syngenta.com

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.

· 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.

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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India page

https://www.linkedin.com/company/70489427/admin/