AI Engineer

Propertyvalue Quantum Technologies Llc

Reston, VA, United States

9 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$172,640.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure Bioinformatics Databases Continuous Integration Identity and Access Management Node.Js Regression Testing Search Technologies Software Engineering SQL Databases

+12 more

TypeScript Enterprise Software Applications ReactJS Large Language Models Multi-Agent Systems Generative AI Backend Kubernetes Low Latency Virtual Agents Restful APIs Docker

Job description

Design and develop enterprise-grade Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications.
Build advanced RAG pipelines using Azure AI Search, embeddings, vector/hybrid search, chunking, metadata filtering, reranking, grounding, and citations.
Design and implement single-agent and multi-agent workflows using Microsoft Agent Framework, Azure AI Foundry, Semantic Kernel, LangGraph, AutoGen, or comparable frameworks.
Develop autonomous and human-in-the-loop agents capable of planning, reasoning, tool calling, and interaction with enterprise systems.
Build secure integrations with REST APIs, databases, enterprise applications, and event-driven services.
Develop user-facing AI applications using React and TypeScript, with supporting backend services using Node.js or comparable technologies.
Establish agent evaluation frameworks covering groundedness, relevance, citation quality, safety, regression testing, and overall response quality.
Implement observability using OpenTelemetry, Application Insights, or similar platforms to monitor traces, tool calls, latency, token usage, errors, and operational metrics.
Build scalable, secure, containerized AI solutions with Docker, Kubernetes, CI/CD pipelines, health checks, and production monitoring.

Requirements

Bachelor’s degree or international equivalent with 8+ years of relevant software engineering experience.
2 3 years of hands-on experience developing Generative AI, LLM, RAG, or Agentic AI solutions.
Strong experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector/hybrid search, and enterprise AI applications.
Strong software engineering experience with React, TypeScript, Node.js or comparable backend frameworks, REST APIs, SQL, Docker, Kubernetes, and CI/CD., * Experience with enterprise security, identity and access management, authorization, data privacy, compliance, and production AI operations is highly valued.
Strong analytical, problem-solving, communication, collaboration, and stakeholder-management skills are required. Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.