AI Customer Engineer

As an AI Customer Engineer, you will make an impact by building scalable AI agent solutions and accelerating enterprise adoption of Generative AI technologies. You will be a valued member of the AI Engineering team and work collaboratively with architects, product teams, and cross-functional stakeholders to deliver intelligent, production-grade AI applications.

In This Role, You Will

• Build and deploy AI agents and GenAI-powered applications using modern frameworks and platforms
• Design and implement RAG pipelines, prompt engineering workflows, and LLM integrations
• Develop scalable backend services and APIs for AI-driven systems
• Enable cloud-native deployments with containerization and microservices architecture
• Collaborate with cross-functional teams to deliver reliable, secure, and high-performing AI solutions

What You Need To Have To Be Considered

• Hands-on experience to Google ADK or CoPilot Studio in building AI Agents (or any tool such as CrewAI, Autogen for building agents)
• Hands-on working knowledge in defining and configuring prompts, instructions, tools, reasoning, guardrails and other similar concepts in AI Agent development
• Strong experience with RAG pipelines, Vector DBs, tokenization, and prompt engineering
• Hands-on experience in creating and maintaining Python libraries, utilize LangChain, Hugging Face, OpenAI API, or local models
• Very strong experience with developing RESTful APIs in Python using frameworks like FastAPI and integrate third-party services, UI components and APIs
• Hands-on working with Docker-based deployments, and leveraging GitHub for code repo and version control is MUST
• Interpret microservices design principles and cloud computing basics
• Strong communication skills and articulation skills

These will help you stand out

• Experience working on end-to-end AI/GenAI project lifecycle
• Exposure to enterprise-scale deployments and production-grade AI systems
• Ability to optimize performance, scalability, and reliability of AI models and services
• Strong collaboration skills across engineering, product, and business teams
• Adaptability to rapidly evolving AI tools, frameworks, and standards