Sr. AI Engineer

Job Description

Seeking a Senior AI Engineer to design and implement advanced AI solutions for a Manufacturing platform. This individual will build production-ready AI systems, develop multi-agent architectures, and help operationalize AI capabilities that integrate into enterprise applications and conversational experiences.

Responsibilities

• Develop and deploy AI/ML solutions in production environments

• Build multi-agent systems and orchestration frameworks

• Implement Retrieval-Augmented Generation (RAG) architectures

• Design and optimize LLM-powered applications

• Develop APIs and services that expose AI capabilities to downstream applications

• Partner with Data Scientists and Software Engineers to deploy end-to-end solutions

• Support prompt engineering and AI model optimization efforts

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 6–8+ years of software engineering or AI engineering experience

• Strong expertise in Machine Learning and AI concepts

• Experience with Large Language Models (LLMs)

• Experience building RAG-based solutions

• Experience developing Multi-Agent Systems

• Strong understanding of NLP (Natural Language Processing)

• Prompt Engineering experience

• Experience exposing AI models/services through APIs

Strong Python development skills • Experience with Azure AI ecosystem

• Experience with Agent Orchestration platforms

• Experience with OpenAI, Anthropic, Claude, Copilot, or similar AI platforms

• Experience deploying AI solutions in enterprise environments

• Experience supporting conversational AI platforms

Familiarity with Manufacturing or Industrial Intelligence use cases