Description

Key qualifications include:

- 8+ years of experience
- Strong proficiency in Python, particularly with Agentic, GenAI, and frameworks such as LangChain, LangGraph, CrewAI, and Langfuse
- Hands-on experience with the AWS ML ecosystem, including Bedrock, SageMaker, Lambda, and API Gateway
- Deep understanding of AI Agents, Agentic architecture, Generative AI, LLMs, NLP, and Conversational AI
- Expertise in prompt engineering and management, focusing on refining and optimizing prompts for Large Language Models (LLMs)
- Experience with database technologies, including SQL, NoSQL, and vector databases like DynamoDB, PGVector, CromaDB, and FAISS
- Proficiency in developing solutions on cloud platforms, preferably AWS
- Solid engineering experience with large-scale AI/ML systems

Key Skills

Education

Any Graduate