AI Programmer Analyst

Veriipro; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Veriipro is seeking an experienced AI Programmer Analyst to design, develop, and deploy enterprise AI solutions that improve operational efficiency. The role focuses on LLMs, RAG, AI agents, prompt engineering, and enterprise AI platforms.

You will collaborate with business and technology teams to deliver scalable, secure, and responsible AI from concept to production, including CI/CD and DevOps practices. Strong Python and cloud experience are required.

Qualifications

• 2-10 years of software/AI development experience.
• Hands-on with LLMs, RAG, AI agents, prompts, and orchestration frameworks.
• Experience with enterprise AI platforms (Azure AI, etc.).
• Strong Python programming skills and AI/ML libraries.
• Experience integrating AI with enterprise apps, REST APIs, databases, and cloud platforms.

Responsibilities

• Partner with stakeholders to identify and implement AI-driven solutions.
• Design, prototype, test, deploy, and maintain enterprise AI applications and automation.
• Evaluate AI models, frameworks, and architectures per requirements.
• Develop prompts, agents, workflows, and retrieval strategies to boost accuracy.
• Integrate AI with enterprise apps, APIs, databases, and processes.
• Build scalable AI solutions using LLMs, RAG, and agent architectures.
• Design monitoring pipelines to predict anomalies and automate root-cause analysis.
• Monitor model performance, reliability, and adoption; improve deployed solutions.
• Ensure security, governance, privacy, and Responsible AI standards.
• Create architecture diagrams, runbooks, and implementation guides.
• Participate in CI/CD, source control, testing, and DevOps for AI delivery.
• Research emerging AI tech and best practices.

Skills

LLMs

RAG

AI Agents

Prompt engineering

Azure AI

Python

REST APIs

SQL

DevOps

Git

Education

Bachelor's degree

Job description

Job Summary

We are seeking an experienced AI Programmer Analyst to design, develop, and implement enterprise AI solutions that solve complex business challenges and improve operational efficiency. The ideal candidate will have hands‑on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI platforms. This role involves collaborating with business and technology teams to deliver scalable, secure, and responsible AI solutions from concept through production deployment.

Roles and Responsibilities

• Partner with business and technology stakeholders to identify, evaluate, and implement AI-driven solutions.
• Design, prototype, develop, test, deploy, and maintain enterprise AI applications and intelligent automation solutions.
• Evaluate and select appropriate AI models, frameworks, and architectures based on business and technical requirements.
• Develop and optimize prompts, AI agents, workflows, orchestration pipelines, and retrieval strategies to improve solution accuracy and effectiveness.
• Integrate AI solutions with enterprise applications, APIs, databases, and business processes.
• Build scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
• Design AI-powered monitoring pipelines that analyze application, server, and database logs to predict system anomalies, recommend real‑time resolutions, and automate root‑cause analysis.
• Monitor AI model performance, reliability, accuracy, and adoption while continuously improving deployed solutions.
• Ensure AI solutions comply with security, governance, privacy, and Responsible AI standards.
• Create technical documentation, architecture diagrams, implementation guides, and operational runbooks.
• Participate in CI/CD processes, source control, testing, and DevOps practices for AI application delivery.
• Research and recommend emerging AI technologies, frameworks, and best practices.

Required Skills

• 2-10 years of experience in software development, AI application development, or machine learning engineering.
• Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and AI orchestration frameworks.
• Hands‑on experience with enterprise AI platforms such as Azure AI, Microsoft Copilot Studio, Gemini Enterprise, or similar AI services.
• Strong Python programming skills with AI/ML libraries and frameworks.
• Experience integrating AI solutions with enterprise applications, REST APIs, databases, and cloud platforms.
• Strong SQL and data analysis skills.
• Experience with cloud‑based AI services and enterprise AI platforms.
• Solid understanding of AI/ML concepts, model evaluation techniques, model limitations, and Responsible AI practices.
• Experience with Git, version control, DevOps, and CI/CD pipelines.
• Strong analytical, problem‑solving, communication, and documentation skills.

Preferred Skills

• Experience implementing AIOps solutions for predictive log analysis, automated incident remediation, and root‑cause analysis.
• Experience with monitoring and observability platforms.
• Familiarity with MLOps practices, model deployment, monitoring, and lifecycle management.
• Experience developing scalable AI applications in cloud environments.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field (or equivalent experience).