Senior AI/ML Engineer

enableIT · United States New
LinkedIn

Posted

Jul 13, 2026 (2d ago)

Seniority

Senior

Work Model

On-site

Type

Not Specified

Category

Data & ML

Salary

Not specified

Skills

Generative AI GitHub LangChain Python RAG

Description

About the Role Onsite Interview at Client Location. Design, build, and deploy AI-powered applications using Large Language Models (LLMs), Generative AI, and Agentic AI to solve complex business challenges. Develop production-ready AI solutions leveraging modern AI frameworks, autonomous agents, and enterprise integrations. Roles & Responsibilities Design, develop, and deploy AI/ML solutions using Python and modern AI frameworks. Build and operationalize Generative AI applications powered by Large Language Models (LLMs). Develop Agentic AI systems capable of autonomous reasoning, planning, decision-making, and task execution. Implement multi-agent workflows and AI orchestration frameworks. Design and build Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval systems. Integrate AI models and services with enterprise applications, APIs, databases, and cloud platforms. Perform prompt engineering, model evaluation, testing, and optimization for production use cases. Collaborate with product managers, architects, and engineering teams to identify and deliver AI-driven business solutions. Establish best practices for AI governance, security, scalability, and responsible AI usage. Utilize AI-assisted development tools including GitHub Copilot, Claude, Codex, or similar coding accelerator platforms. Stay current with advancements in LLMs, Generative AI, Agentic AI, and emerging AI technologies. Key Skills Python & AI/ML Engineering Large Language Models (LLMs), Generative AI & Agentic AI RAG, Prompt Engineering & Vector Search AI Frameworks (LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, Semantic Kernel) Enterprise AI Integration, APIs & Cloud Platforms Nice to Have Experience using AI-assisted development tools (GitHub Copilot, Claude, Codex) Experience integrating AI services with enterprise applications Strong understanding of software design, testing, and scalable application development Excellent communication and problem-solving skills Benefits (W2) Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.