AI ENGINEER (GENAI) @ P99SOFT
We are looking for a passionate AI Engineer with hands-on experience in Generative AI to join our growing team in Hyderabad. The successful candidate will design and develop end-to-end generative AI solutions on AWS, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering. You will work with cutting-edge agentic workflows and modern frameworks to build real-world AI applications. This hybrid role requires a mix of technical expertise in Python and a deep understanding of cloud infrastructure.
In this role, you will be responsible for building AI agents using CrewAI or AutoGen and integrating them into scalable environments using Docker and AWS ECS/EKS. You will also manage workflows using n8n and monitor system performance with CloudWatch or W&B. As part of the team at P99soft, you will contribute to innovative projects that leverage AWS Bedrock and SageMaker to drive business value. The ideal candidate has over three years of experience and is ready to tackle complex challenges in the evolving field of artificial intelligence.
In this role, you will be responsible for building AI agents using CrewAI or AutoGen and integrating them into scalable environments using Docker and AWS ECS/EKS. You will also manage workflows using n8n and monitor system performance with CloudWatch or W&B. As part of the team at P99soft, you will contribute to innovative projects that leverage AWS Bedrock and SageMaker to drive business value. The ideal candidate has over three years of experience and is ready to tackle complex challenges in the evolving field of artificial intelligence.
Key Requirements
3+ years of professional Python programming experience.
At least 2 years of hands-on experience in Generative AI and LLMs.
Proficiency in AWS services including Bedrock, SageMaker, and Lambda.
Strong knowledge of Prompt Engineering and RAG (Retrieval-Augmented Generation).
Experience with the LangChain framework for building LLM applications.
Ability to develop AI Agents using frameworks like CrewAI or AutoGen.
Familiarity with n8n workflows and automation tools.
Experience with containerization using Docker and orchestration with ECS/EKS.
Strong understanding of monitoring tools like CloudWatch and Weights & Biases (W&B).
Excellent problem-solving skills and ability to work in a hybrid team environment.