Job Description
The AI Engineer architects, builds, and deploys production-grade AI agents and advanced AI solutions that drive employee productivity, process optimization, business transformation, and decision intelligence. This role involves leveraging state-of-the-art AI technologies such as LLM APIs, Agentic workflows, and Retrieval-Augmented Generation (RAG) frameworks to develop and refine intelligent systems that enhance automation, streamline operations, and enable smarter decision-making across the organization. Working collaboratively with cross-functional teams, the Engineer ensures AI-driven improvements are effectively integrated into enterprise workflows, directly contributing to the mission of innovation, efficiency, and customer-first transformation.
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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
1–3 years of experience in AI/ML engineering, applied AI, or intelligent systems development.
Hands-on experience with LLM development, OpenAI API usage, custom GPT creation, and RAG implementations. MCP/A2A/ACP familiarity, Agent Evals
Proficiency in Python with experience in libraries such as PyTorch, TensorFlow, LangChain, or similar.
Ability to analyze and interpret complex data to improve AI model responses.
Expertise in prompt and context engineering, fine-tuning, and agentic workflows.
Strong knowledge of designing retrieval-augmented generation pipelines
Experience with LLM APIs such as GPTs, vector databases, orchestration frameworks (LangChain, LlamaIndex, etc.)
Bachelor's Degree plus 3 years of related work experience
OR advanced degree with 1 year of related work experience
OR combination of education and experience deemed equivalent - 2 - 4 years of developing and deploying machine learning models, including fine-tuning and prompt engineering
2-4 years of experience with AI tools and software development using programming languages such as Python
Collaborating with cross-functional teams to integrate AI solutions into business workflows