AI Customer Engineer

The role focuses on building scalable AI-agent solutions and accelerating enterprise adoption of Generative AI. The engineer will develop AI agents and GenAI applications, RAG pipelines, prompt-engineering workflows, LLM integrations, Python backend services/APIs, and cloud-native deployments using Docker and microservices. The role involves working with architects, product teams, and cross-functional stakeholders to deliver secure, reliable, and production-grade AI solutions.

Required Skills Hands-on experience building AI Agents Google ADK Copilot Studio CrewAI AutoGen Similar agent frameworks

AI-agent concepts

Prompts Instructions Tools Reasoning Guardrails RAG pipelines Vector databases Tokenization Prompt engineering Python Creating and maintaining Python libraries LangChain Hugging Face OpenAI API or local models Strong Python REST API development FastAPI Third-party service/API integration Docker-based deployments GitHub/version control Microservices principles Cloud computing basics Strong communication and articulation 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 optimization Cross-functional collaboration Ability to adapt to rapidly evolving AI tools and frameworks