AI Engineer
Core
Design, develop, and deploy end-to-end AI-powered applications combining Generative AI agents and RAG pipelines with full-stack architectures.
Role type
Full-Stack AI Engineer
Builds
Autonomous agents, multi-agent systems, production-grade RAG pipelines, interactive AI interfaces, scalable backend services
Domain
Agricultural technology, Generative AI, Full-Stack Software Engineering
Deliverable
production ML models | product features
Required skills
Python, LLMs, Prompt Engineering, RAG, React JS, Java (Spring Boot), Vector Databases, AWS
Preferred skills
Algorithm design, Microservices architecture
Technologies
Pinecone, Weaviate, AWS Lambda, AWS ECS, React JS, Java, Spring Boot
Responsibilities
Build and optimize autonomous agents and multi-agent systems using LLM gateways and orchestration frameworks; Design production-grade RAG pipelines utilizing Vector DBs and complex design patterns; Develop interactive AI interfaces in React JS; Build scalable, secure backend services using Java; Develop and deploy the entire stack on AWS
Seniority
Mid-level (3+ years experience)