Artificial Intelligence Engineer

Role OverviewWe are looking for a skilled Senior Agentic AI Engineer with hands on experience in designing and delivering production grade Agentic AI solutions. The ideal candidate should have strong expertise in Python, LangGraph, LLM orchestration, prompt engineering, and tool/API integration. Experience with AWS platform engineering and cloud native application development is highly desirable.Key ResponsibilitiesDesign, develop, and deploy enterprise scale Agentic AI applications and multi agent workflows.Build AI agents using LangGraph, LLM frameworks, and advanced orchestration patterns.Implement prompt engineering, guardrails, evaluation frameworks, and agent memory/reasoning capabilities.Integrate AI agents with enterprise APIs, databases, external tools, and business applications.Develop RAG based solutions leveraging vector databases and knowledge repositories.Collaborate with platform, DevOps, and architecture teams to ensure scalable, secure, and production ready deployments.Contribute to AI platform engineering, monitoring, observability, and CI/CD practices.Required SkillsStrong Python development experience.Hands on experience with LangGraph and LLM orchestration frameworks.Expertise in Agentic AI, Generative AI, multi agent systems, and AI workflow design.Advanced prompt engineering and model evaluation techniques.Experience with REST APIs, tool integrations, and enterprise application connectivity.Knowledge of RAG architectures, embeddings, and vector databases.Strong understanding of software engineering best practices and cloud native development.Preferred SkillsAWS (Bedrock, Lambda, EKS/ECS, API Gateway, S3, Terraform).Docker, Kubernetes, MLOps, and CI/CD pipelines.Experience with LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.Exposure to enterprise AI governance, observability, and security frameworks.