AI Engineer

AI Platform Engineer

We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (GCP). This is a highly technical, hands-on individual contributor role focused on developing production-grade multi-agent AI systems, AI-powered workflows, and developer-facing capabilities.

The ideal candidate will combine deep software engineering expertise with practical experience building and operating LLM-based applications in production environments. This role requires ownership of solution architecture, hands-on development, technical leadership, and cross-functional collaboration to deliver scalable, secure, and observable AI solutions.

Key Responsibilities

• Design and implement multi-agent AI systems and agent orchestration frameworks.
• Evaluate architectural trade-offs, including: Single-agent vs. multi-agent architectures, Retrieval-Augmented Generation (RAG) vs. fine-tuning approaches, Agent workflow design and orchestration strategies.
• Contribute to Architecture Decision Records (ADRs) and technical design documentation.
• Define scalable, secure, and maintainable AI platform patterns.

AI Application Development

• Develop and deploy production-grade AI applications and agentic workflows.
• Build solutions supporting: Natural Language to SQL (NL-to-SQL), Semantic search, Metadata enrichment, Intelligent automation workflows.
• Implement AI guardrails, observability, monitoring, and evaluation frameworks.
• Leverage modern agent development tools and coding assistants.

Full-Stack Engineering

• Develop backend services using: Python, FastAPI.
• Build frontend experiences using: Angular, React.
• Create chat interfaces, APIs, developer tooling, and user-facing AI experiences.
• Own end-to-end feature delivery from design through production deployment.

Engineering Excellence

• Write high-quality, maintainable, and testable code.
• Lead technical reviews and establish engineering best practices.
• Perform root-cause analysis and troubleshoot complex AI agent failures.
• Serve as the team's technical expert for advanced AI and platform engineering challenges.
• Drive continuous improvements in reliability, scalability, and performance.

Collaboration & Leadership

• Partner closely with Product Management, Data Engineering, and Platform Engineering teams.
• Participate in sprint planning, backlog refinement, and technical roadmap discussions.
• Mentor team members and promote knowledge sharing.
• Support onboarding and technical development of new engineers.

Required Qualifications

• 5+ years of professional software engineering experience.
• Demonstrated hands-on coding expertise with modern application development practices.
• Experience building and operating AI-powered applications or LLM-based systems in production environments.
• Ability to interpret ambiguous business requirements and independently deliver robust, well-tested solutions.
• Experience designing scalable cloud-native applications.

Technical Skills

• Artificial Intelligence and Expert Systems
• Large Language Models (LLMs)
• Agent-based AI architectures
• API development and microservices
• Python development
• FastAPI
• Frontend development using Angular or React
• Production software engineering and DevOps practices

Agentic AI Experience

• Experience building agent-based systems using frameworks such as: Google Agent Development Kit (ADK), CrewAI, LangGraph, Similar agent orchestration platforms.
• Familiarity with agentic development tools and AI-assisted coding environments, including: OpenCode, Claude code, Comparable AI developer productivity tools.

Preferred Qualifications

• Cloud & Platform Experience
• Google Cloud Platform (GCP)
• Cloud-native application architecture
• Platform engineering and AI infrastructure
• Machine Learning & AI
• Applied machine learning experience, including: Embeddings, Classification, Clustering, Natural Language Processing (NLP), Model evaluation and benchmarking.
• Experience implementing AI evaluation frameworks and quality metrics.
• Data & Governance
• Familiarity with: Data engineering principles, Enterprise data platforms, Metadata management, Data governance processes.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.