Artificial Intelligence Engineer

iT Resource Solutions.net, Inc is seeking an Agentic AI Engineer / Applied AI Engineer to design, build, and deploy production-grade AI systems that autonomously execute complex business workflows. The role focuses on LLM agents, RAG, AI automation, backend and full-stack development, and reliable AI operations.

Consulting

• Human Resources
• Information Technology
• Small and Medium Businesses
• Staffing Agency
• Hiring Manager
• Ken Cobb
• 2 email credits available today
• Beyond your network
• Samantha Pearl
• Human Resources Generalist
• From your previous company

Responsibilities

• Design and architect production-grade Agentic AI systems capable of reasoning, planning, decision-making, and executing business workflows
• Build LLM-powered agents and multi-agent workflows using modern AI frameworks and orchestration patterns
• Develop scalable RAG pipelines, including document ingestion, embedding, vector search, retrieval, ranking, and contextual generation
• Integrate LLMs with enterprise systems through backend APIs, tools, function calling, and event-driven architectures
• Build AI applications using OpenAI and other foundation models, optimizing prompts, agent behavior, context management, and tool usage
• Develop reliable AI systems incorporating memory, evaluation, observability, guardrails, security, and human-in-the-loop workflows
• Architect and develop backend services using Python and FastAPI
• Build full-stack AI products and internal platforms using React and TypeScript
• Design event-driven and asynchronous workflows capable of supporting autonomous AI agents at scale
• Implement semantic and vector search solutions using technologies such as Pinecone and FAISS
• Develop AI/ML systems for areas including fraud detection, risk scoring, anomaly detection, compliance automation, and intelligent business operations
• Establish evaluation frameworks and monitoring systems to measure agent accuracy, reliability, latency, cost, and production performance
• Deploy and operate AI applications using AWS, Docker, Kubernetes, and modern MLOps practices
• Collaborate with product, engineering, data, and business teams to identify opportunities for AI-driven automation and intelligent workflows

Preferred

• Experience building Agentic AI platforms or autonomous AI workflows in production
• Experience with financial services, fraud detection, risk management, compliance, or enterprise automation
• Strong understanding of LLM reasoning, retrieval, memory, planning, tool use, and agent evaluation
• Experience taking AI products from prototype/MVP through production deployment and ongoing optimization
• Experience building scalable, secure, and reliable enterprise AI applications
• IT staffing and consulting for government and commercial clients.
• Quantico, Virginia, USA
• http://www.it-rs.net
• Leadership Team
• Jeff Cobb
• COO
• Company data provided by
• AI Tools
• Customize Your Resume
• Maximize your interview chances
• Build Cover Letter
• Make your application stand out
• Analyze How Well You Fit
• Understand your strength & weakness

Qualifications

• strong experience in LLM-based agents, Retrieval-Augmented Generation (RAG), multi-agent systems, AI automation, backend engineering, and full-stack AI product development
• Python
• OpenAI / LLM APIs
• LangChain
• LangGraph
• LangSmith
• RAG architectures
• Vector databases and semantic search
• Pinecone / FAISS
• FastAPI
• REST APIs and backend development
• React / TypeScript
• PostgreSQL
• Redis
• AWS
• Docker
• Kubernetes
• MLflow
• AI/ML evaluation and observability
• Agent orchestration and tool/function calling
• Event-driven architectures and workflow automation
• U.S citizenship or Green Card Required
• Strong experience in LLM-based agents, Retrieval-Augmented Generation (RAG), multi-agent systems, AI automation, backend engineering, and full-stack AI product development
• Experience building Agentic AI platforms or autonomous AI workflows in production
• Experience with financial services, fraud detection, risk management, compliance, or enterprise automation
• Strong understanding of LLM reasoning, retrieval, memory, planning, tool use, and agent evaluation
• Experience taking AI products from prototype/MVP through production deployment and ongoing optimization
• Experience building scalable, secure, and reliable enterprise AI applications

Required skills

• AWS, FAISS, FastAPI, Kubernetes, LangChain, LangGraph, OpenAI / LLM APIs, Pinecone, Python, RAG Architectures, React, TypeScript

Preferred skills

• AI Tools, Analyze How Well You Fit, Build Cover Letter, COO, Company data provided by, Customize Your Resume, Jeff Cobb, Leadership Team, Make your application stand out, Maximize your interview chances, Quantico, Virginia, USA, Understand your strength & weakness, http://www.it-rs.net