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 (Google Cloud Platform). 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., AI Solution Architecture

• 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.

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., * 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 (Google Cloud Platform)
• 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, * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at