AI Engineer

Washington, DC, US • Posted 18 days ago • Updated 18 days ago

Contract Corp To Corp

Contract W2

On-site

$0 - $0

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

AI Development
Agentic AI
Multi-Agent Systems
LangChain
LangGraph
Retrieval Augmented Generation (RAG)
Large Language Models (LLM)
Prompt Engineering
AI Orchestration
Tool-driven Workflows
Azure OpenAI
Azure Cognitive Search
Azure Functions
Azure App Services
Azure ML Studio
AWS OpenSearch
AWS Lambda
Databricks
Data Engineering
Feature Engineering
Embeddings Pipelines
Semantic Search
Model Training
Model Tuning
Model Evaluation
Model Lifecycle Management
Model Drift Monitoring
Experiment Tracking
Python
FastAPI
Flask
API Development
Backend Development
CI/CD
Containerization
Serverless Architecture
Docker
ACR
ECR
Data Modeling
Statistical Modeling
Enterprise AI Governance
Responsible AI
Security & Compliance
Cloud Architecture
Automation Development

Summary

AI Developer / Agentic AI Engineer Job Summary:
We are seeking an experienced AI Developer to design, build, and operationalize enterprise-grade AI solutions, including agentic automation and Retrieval-Augmented Generation (RAG). The role involves hands-on development across modern AI frameworks, cloud AI services (Azure & AWS), and large-scale data engineering platforms, ensuring solutions meet enterprise security, governance, and scalability standards.
Key Responsibilities:

Design and develop agentic AI and RAG pipelines using frameworks such as LangChain, LangGraph, or similar.
Build AI components enabling reasoning, orchestration, automation, and semantic search.
Integrate and manage enterprise LLM services while adhering to Responsible AI practices.
Develop and deploy AI/data pipelines using Azure (Azure OpenAI, Cognitive Search, ML Studio, Functions, App Services) and AWS (OpenSearch, Lambda, ECR).
Leverage Databricks for data preparation, feature engineering, embeddings generation, and large-scale analytics.
Build backend services and APIs using Python (FastAPI, Flask) and integrate with enterprise systems.
Implement model evaluation, experiment tracking, drift monitoring, and retrieval quality metrics.
Develop CI/CD pipelines, containerized/serverless deployments, and automated testing.
Produce technical documentation, architecture diagrams, and operational runbooks.
Ensure compliance with enterprise security, data governance, and audit standards.

Required Skills & Experience:

Strong hands-on experience in Python-based AI and backend development.
Expertise in LLMs, RAG architectures, and agentic AI frameworks.
Experience with Azure AI services and AWS search/compute services.
Solid background in data engineering, Databricks, and scalable ML pipelines.
Knowledge of containerization, serverless computing, CI/CD, and MLOps practices.
Strong understanding of AI governance, security, and enterprise architecture patterns.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10114908
Position Id: 8886773
Posted 18 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

Washington, District of Columbia

•

Today

AI Engineer We are seeking a Generative AI Developer with strong experience in enterprise AI solutions, Azure cloud technologies, and API development. This role focuses on designing and implementing GenAI solutions, working with large language models (LLMs), and building scalable applications within an Azure-based environment. < data-start="454" data-end="483">Key Responsibilities Design, develop, and implement Generative AI solutions for enterprise use cases. Build and optimize AI systems usin

Easy Apply

Contract

AI Engineer

Hybrid in Washington, District of Columbia

•

5d ago

Title: AI Engineer Location: Washington, D.C 4 Days- Hybrid Duration: 12 months Job Description The AI Engineer will be responsible for designing, developing, and deploying AI solutions that address the needs of the World Bank. This includes working on projects that involve natural language processing, machine learning, generative AI and other AI technologies. The engineer will collaborate with various teams to understand their requirements and deliver AI solutions that improve efficiency, decis

Easy Apply

Contract, Third Party

Depends on Experience

AI Engineer

Hybrid in McLean, Virginia

•

Today

Role summary AI Engineer with 10+ years of experience to design, build, and deploy advanced AI/ML, Generative AI, and Agentic AI solutions for enterprise applications. This role combines hands-on engineering with strategic leadership, driving AI adoption across large-scale business workflows. Responsibilities Build and deploy scalable AI & ML solutions into enterprise systems. Architect and integrate LLMs, RAG pipelines, and agentic AI that can reason, plan, and adapt. Collaborate with product,

Easy Apply

Full-time

180000

AI Engineer

Washington, District of Columbia

•

Today

Description Our enterprise healthcare customer is looking for a mid-level AI Engineer - not a data scientist and not just a general software engineer - but someone who sits squarely at the intersection of AI tooling and real software engineering. Core Requirements Enterprise-grade Python engineer Someone who has built real production systems, not hobby projects. Strong API & cloud engineering skills Experience with FastAPI, OpenAPI, API patterns, authentication, and PaaS services. Hands-on AI

Full-time

USD 78.00 - 85.00 per hour

Search all similar jobs