GenAI Engineer (Python + AWS)

About the Role:

We are looking for a GenAI Engineer with a strong foundation in Python and AWS, who is passionate about building and deploying cutting-edge Generative AI solutions. The ideal candidate should have hands-on experience in LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering, with a solid understanding of AI agent workflows and cloud-based AI deployment.

Key Responsibilities:

• Design, develop, and implement GenAI-based solutions leveraging LLMs , RAG pipelines , and prompt engineering techniques .

• Build and orchestrate agentic workflows using tools such as n8n, crewai, or autogen.

• Utilize LangChain, AWS Bedrock, and SageMaker for model training, fine-tuning, and integration into production environments.

• Deploy, monitor, and scale AI applications using Docker, ECS/EKS, and CloudWatch.

• Collaborate with cross-functional teams (Data Scientists, MLOps, Product) to deliver scalable and high-performing AI services.

• Continuously evaluate new AI models, frameworks, and AWS AI services to enhance solution efficiency and innovation.

Technical Skills & Qualifications:

• 3–6 years of experience in Python development with exposure to AI/ML or GenAI projects.

• Strong working knowledge of AWS cloud services – particularly Bedrock, SageMaker, ECS/EKS, and CloudWatch.

• Experience with LangChain, RAG architecture, and prompt engineering for LLM-based applications.

• Hands-on experience in containerization (Docker) and workflow orchestration using n8n, crewai, or autogen.

• Understanding of MLOps pipelines and AI model lifecycle management.

• AWS Machine Learning certification is preferred.