Senior AI Engineer

Insight Global is looking for a fully remote Senior AI Engineer to join a logistics/supply chain customer to support their automation initiatives and organization build out.

Day to day

· Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology.

· Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases.

· Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards.

· Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality.

· Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI.

· Build agile and portable AI solutions using containerization tools like Docker and Kubernetes.

· Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities.

· Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration.

· Communicate effectively with leadership to secure resources, address issues, and provide project updates.

· Take ownership of projects end-to-end with minimal supervision.

· Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance.

· Stay current on emerging AI technologies and trends and contribute to the organization's AI roadmap.

Pay rate: 75-78/hr.

• 3-5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development.

· Hands-on experience with AI agent development frameworks (e.g., Google's Agent Development Kit, OpenAI Agents SDK).

· Knowledge of MCP and A2A protocols.

· Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable).

· Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks.

• Experience in monitoring, troubleshooting, and optimizing deployed solutions. · Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms.

· Familiarity with logistics systems (e.g., WMS).

· Experience with Snowflake and its ecosystem.

• Hands-on experience with GCP Vertex AI Agent Builder.