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Sr. AI Engineer
Insight Global
2 hours ago
Full-time
On-site
Rogers, Arkansas, United States
Job Description
We are seeking a Senior AI Engineer to lead the design and delivery of production-grade Generative AI applications, agents, RAG solutions, and orchestration workflows. This individual will personally build Python services, APIs, retrieval pipelines, evaluation frameworks, guardrails, and enterprise integrations rather than only supporting the API layer. The role will own a major AI project from requirements through production while managing technical risks, dependencies, milestones, and stakeholder communication. Qualified candidates should have 10+ years of software or AI engineering experience with hands-on knowledge of Python, LLMs, vector retrieval, LangChain or LangGraph, cloud deployment, containers, testing, monitoring, and CI/CD. The Senior AI Engineer will also provide technical direction, code reviews, and mentorship to other engineers while remaining an active contributor.
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
• 10+ years of software or AI engineering experience with strong hands-on Python development skills.
• Demonstrated experience building and deploying production-grade Generative AI applications.
• Strong experience with LLM application development, RAG, embeddings, vector retrieval, agents, tool calling, and orchestration.
• Experience building REST APIs, microservices, and integrations with enterprise applications and data sources.
• Strong understanding of software engineering practices including automated testing, Git, code reviews, logging, debugging, and CI/CD.
• Experience with Docker, containers, and cloud-based application deployment.
• Experience implementing AI evaluation, monitoring, guardrails, and production troubleshooting.
• Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or other enterprise AI platforms
• Knowledge of GraphRAG, knowledge graphs, Kubernetes, infrastructure-as-code, AI observability, and Responsible AI practices is a plus.
• Demonstrated ability to lead technical projects, mentor engineers, manage dependencies, and communicate effectively with technical and business stakeholders.
We are seeking a Senior AI Engineer to lead the design and delivery of production-grade Generative AI applications, agents, RAG solutions, and orchestration workflows. This individual will personally build Python services, APIs, retrieval pipelines, evaluation frameworks, guardrails, and enterprise integrations rather than only supporting the API layer. The role will own a major AI project from requirements through production while managing technical risks, dependencies, milestones, and stakeholder communication. Qualified candidates should have 10+ years of software or AI engineering experience with hands-on knowledge of Python, LLMs, vector retrieval, LangChain or LangGraph, cloud deployment, containers, testing, monitoring, and CI/CD. The Senior AI Engineer will also provide technical direction, code reviews, and mentorship to other engineers while remaining an active contributor.
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
• 10+ years of software or AI engineering experience with strong hands-on Python development skills.
• Demonstrated experience building and deploying production-grade Generative AI applications.
• Strong experience with LLM application development, RAG, embeddings, vector retrieval, agents, tool calling, and orchestration.
• Experience building REST APIs, microservices, and integrations with enterprise applications and data sources.
• Strong understanding of software engineering practices including automated testing, Git, code reviews, logging, debugging, and CI/CD.
• Experience with Docker, containers, and cloud-based application deployment.
• Experience implementing AI evaluation, monitoring, guardrails, and production troubleshooting.
• Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or other enterprise AI platforms
• Knowledge of GraphRAG, knowledge graphs, Kubernetes, infrastructure-as-code, AI observability, and Responsible AI practices is a plus.
• Demonstrated ability to lead technical projects, mentor engineers, manage dependencies, and communicate effectively with technical and business stakeholders.