Description:
The Senior AI Platform Engineer is responsible for designing, developing, and deploying intelligent AI-powered applications, multi-agent systems, and automation solutions that leverage Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and cloud-native technologies. This role combines advanced software engineering, cloud architecture, and AI application development to build scalable, secure, observable, and production-ready solutions that transform data into actionable business insights.
The ideal candidate has experience building and deploying enterprise-grade AI applications and agent-based architectures, with expertise in Google Cloud Platform (GCP), Python development, cloud data technologies, and modern AI frameworks.
Key Responsibilities
- Design, architect, and deploy production-grade multi-agent AI systems using modern orchestration frameworks and state management capabilities.
- Develop intelligent applications, cognitive services, and AI-powered workflows that automate processes, generate recommendations, identify patterns, predict outcomes, and enable self-service capabilities.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, hybrid retrieval, reranking, and retrieval evaluation.
- Develop and maintain secure integrations between AI applications, enterprise data platforms, and operational systems.
- Design, implement, and optimize AI models and algorithms to solve complex business and operational challenges.
- Build and maintain cloud-native AI services on Google Cloud Platform, including Cloud Run, GKE, Vertex AI, BigQuery, and Pub/Sub.
- Establish CI/CD pipelines, containerized deployments, infrastructure automation, and software delivery best practices.
- Implement observability, monitoring, evaluation frameworks, and tracing capabilities for AI and agent-based systems.
- Develop guardrails, validation mechanisms, prompt security controls, and human-in-the-loop workflows to ensure safe and reliable AI operations.
- Collaborate with data scientists, software engineers, product teams, and business stakeholders to operationalize AI solutions.
- Drive performance, scalability, reliability, and cost optimization strategies across AI platforms and services.
- Research emerging AI technologies and evaluate opportunities to enhance organizational capabilities and business outcomes.
Required Skills
- Google Cloud Platform (GCP)
- Python
- Large Language Models (LLMs)
- Generative AI
- Agentic AI Frameworks
- Retrieval-Augmented Generation (RAG)
- SQL
- REST APIs
- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions
- Cloud Data Platforms
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
