Generative AI Engineer

Description :

- Strong experience building applications using Generative AI and Large Language Models (LLMs).

- Hands-on experience designing agentic workflows, autonomous agents, and multi-agent orchestration systems.

- Experience with modern AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar agent frameworks.

- Strong understanding and implementation experience with Retrieval-Augmented Generation (RAG) architectures.

- Familiarity with vector databases and embeddings such as Pinecone, OpenSearch, or FAISS.

- Strong programming expertise in Python for AI/ML systems and backend services.

- Hands-on experience with AWS cloud-native architectures, particularly :

1. AWS Lambda

2. API Gateway

3. Step Functions

4. EventBridge

5. DynamoDB

6. S3

- Experience deploying and managing containerized applications using Amazon ECS and Amazon EKS.

- Experience working with AWS Bedrock, SageMaker, or external LLM APIs.

- Understanding of distributed systems, microservices architecture, and event-driven architectures.

- Experience integrating LLM agents with APIs, enterprise tools, and data platforms.