AI Customer Engineer

Build and deploy scalable AI agents and Generative AI applications for enterprise customers. The role involves RAG pipelines, prompt engineering, LLM integrations, Python/FastAPI backend services, REST APIs, Docker, microservices and cloud-native deployments. The engineer will work with architects, product teams and other stakeholders to deliver production-grade AI solutions.

Required Skills Hands-on experience with Google ADK or Microsoft Copilot Studio

Experience with AI-agent frameworks such as

CrewAI AutoGen

AI agent development concepts

Prompts Instructions Tools Reasoning Guardrails RAG pipelines Vector databases Tokenization Prompt engineering Python Python library development/maintenance LangChain Hugging Face OpenAI API or local models Strong REST API development using Python FastAPI Third-party API integration UI component/API integration Docker GitHub Microservices principles Cloud computing basics Strong communication and articulation skills Preferred / Additional Skills End-to-end AI/GenAI project lifecycle Enterprise-scale AI deployments Production-grade AI systems AI model/service performance optimization Scalability and reliability Cross-functional collaboration Adaptability to rapidly changing AI frameworks and tools