AI Full Stack Engineer

Hi ,

Our client is looking for an Principal Full-Stack AI Engineer - Platform Architect for a project and below is the detailed requirement.

Job Title: Principal Full-Stack AI Engineer - Platform Architect

Location: NYC, NY

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related technical field.
• Principal/Staff-level experience with strong hands-on expertise in full-stack software engineering, platform architecture, and production system development.
• Strong experience building end-to-end production services, including backend services, APIs, microservices, and frontend/developer UIs.
• Deep expertise in distributed systems, platform engineering, Kubernetes, containers, Terraform/IaC, CI/CD, secrets management, RBAC, and multi-tenant architectures.
• Strong hands-on experience with Google Cloud Platform, including GKE, Vertex AI, IAM, VPC Service Controls, BigQuery, and enterprise cloud environments.
• Strong hands-on experience with Generative AI, LLMs, Agentic AI, AI agents, multi-agent/sub-agent orchestration, and AI agent runtimes.
• Experience with A2A, MCP/tool integrations, RAG, retrieval systems, embeddings, memory services, and agent-building frameworks.
• Strong experience designing and developing AI platform/control-plane services, including model/agent/tool/skill/workflow registries and reusable lifecycle management patterns.
• Experience with AI governance and security, including PII/PHI protection, prompt-injection scanning, runtime guardrails, policy enforcement, identity-aware access, and audit/observability.
• Experience with AI gateway integrations, token-aware metering, multi-vendor cost attribution, AI tracing/observability, and multi-provider model abstraction/failover.
• Strong programming skills in Python and experience with one or more of Go, Java, or TypeScript.
• Experience with AI/ML platform technologies such as MLflow, OpenTelemetry, vLLM, Ray, DeepSpeed, Delta UniForm, and Apache Iceberg is highly desirable.
• Strong experience with AI-assisted engineering tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, or equivalent.
• Strong analytical, architectural, problem-solving, communication, and technical leadership skills with the ability to work independently as a senior individual contributor.