t engineering, RAG, embeddings, and model evaluation

Ability to support POC development and transition it to production-grade solutions, ensuring scalability, reliability, and maintainability

Solid expertise in cloud platforms (AWS preferred) including:

Compute, storage, networking, and security fundamentals

Managed AI/ML services and MLOps pipelines

Cloud-native application design (microservices, APIs, containers)

Experience in deploying, monitoring, and optimizing AI workloads in production environments

Strong troubleshooting skills with the ability to provide quick, effective solutions to technical challenges during development and deployment

Knowledge of CI/CD practices, infrastructure as code, and automation for AI applications

Understanding of performance, cost optimization, compliance, and security considerations for AI solutions

Ability to collaborate closely with internal teams to:

Understand POC design and intent

Identify gaps for production readiness

Implement best practices and improvements

Good communication skills to explain technical concepts clearly and support rapid iterations

Prior experience supporting enterprise-grade AI or cloud solutions is highly preferred

Required SkillsAi/ml,Generative AI (GenAI) ,LLMs, prompt engineering, RAG, embeddings,cloud platforms (AWS),MLOps,Agentic AISupported SkillsAgentic AI architectures1a:T72a,Job Description

Strong understanding of Agentic AI architectures, including multi-agent systems, tool orchestration, planning, memory, and feedback loops

Proven hands-on experience with Generative AI (GenAI) technologies such as LLMs, prompt engineering, RAG, embeddings, and model evaluation
Ability to support POC development and transition it to production-grade solutions, ensuring scalability, reliability, and maintainability

Agentic AI, Python, AWS(Cloud) Experts

Agentic AI, Python, AWS(Cloud) Experts