Artificial Intelligence Engineer

Boldtek; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

A leading company in AI solutions is seeking an AI Engineer to design and implement AI/ML solutions using GCP. The ideal candidate will have 3+ years of programming experience in Python and expertise in cloud technologies to enhance AI workflows. This role involves collaborating with various teams to develop scalable AI architectures and optimize existing deployments.

Qualifications

• 3+ years in AI/ML engineering or related fields.
• 3+ years of experience in Python programming.
• Experience with GCP for AI/ML development.

Responsibilities

• Design and deploy AI/ML solutions using GCP services.
• Lead implementation of advanced retrieval pipelines.
• Collaborate with teams to integrate AI solutions.

Skills

AI/ML Engineering

Python Programming

Google Cloud Platform

Problem-Solving

Job description

AI Engineer GenAI G Cloud Solutions (GCP)

Job Responsibilities:

• Design, develop, and deploy AI/ML and GenAI solutions using GCP-managed services.
• Lead the implementation of advanced RAG pipelines leveraging knowledge graphs, agent-based retrieval strategies, and structured data extraction (Text2SL).
• Collaborate with cross-functional teams to integrate AI solutions into cloud-native architectures and customer-facing applications.
• Optimize model performance, latency, and scalability for production-grade deployments.
• Build and manage pipelines for document ingestion, vector indexing, and contextual retrieval using modern RAG frameworks.
• Utilize and integrate GCP tools such as Vertex AI, Cloud Functions, Biguery, and Gemini APIs.
• Contribute to the adoption and implementation of MCP and Google A2A to enable complex multi-agent interactions and workflows.
• Write clean, scalable, and efficient code in Python to support AI workflows, APIs, and automation pipelines.

Must-Have ualifications:

• Minimum 3+ years of professional work experience in AI/ML engineering, or related roles.
• Minimum 3+ years of hands-on Python programming experience, with strong proficiency in building AI pipelines, automation, or backend systems.
• Proven experience with Google Cloud Platform (GCP) for AI/ML development and deployment.
• Hands-on production implementation of Generative AI systems (chatbots, RAG solutions, etc.) on cloud infrastructure.
• Expertise in Advanced RAG techniques: Knowledge Graph RAG, Agentic RAG, and Text2SL RAG.
• Solid understanding of MCP (Model Context Protocol) and Google Agent to Agent (A2A) frameworks.
• Excellent problem-solving skills and the ability to architect scalable and modular AI solutions.

Preferred ualifications:

• GCP Professional Certification – Cloud Architect or Machine Learning Engineer.
• Experience with vector and graph databases.
• Familiarity with LLM fine-tuning, prompt engineering, and multi-agent orchestration.
• Experience with CI/CD and containerization (Docker, Kubernetes).

Nice to Have:

• Background in enterprise AI use cases (e.g., supply chain, healthcare).
• Experience with other cloud platforms (Azure, AWS) in an AI/ML context.