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Generative AI Engineer (Clearance Required)

InterImage, Inc.

Arlington, Virginia • Today

Full-time

Forward Deployed Engineer - Clearance Required

LMI Government Consulting (Logistics Management In

Washington, District of Columbia • Today

Contract

USD 145,000.00 - 250,000.00 per year

Solutions Engineer (Clearance Required)

Scale AI

Washington, District of Columbia • Today

Full-time

USD 186,400.00 - 233,000.00 per year

Job Details

Skills

Innovation
Emerging Technologies
Research
Open Source
Reasoning
Decision Support
Storage
Collaboration
Scalability
Security Clearance
Software Development
Generative Artificial Intelligence (AI)
Python
Large Language Models (LLMs)
Prompt Engineering
Flask
Cloud Computing
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
DevSecOps
Software Architecture
LangChain
Semantics
LlamaIndex
Orchestration
Vector Databases
Workflow
Microsoft Certified Professional
Evaluation
Optimization
Terraform
Machine Learning (ML)
Artificial Intelligence
Microsoft Azure

Innovation
Emerging Technologies
Research
Open Source
Reasoning
Decision Support
Storage
Collaboration
Scalability
Security Clearance
Software Development
Generative Artificial Intelligence (AI)
Python
Large Language Models (LLMs)
Prompt Engineering
Flask
Cloud Computing
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
DevSecOps
Software Architecture
LangChain
Semantics
LlamaIndex
Orchestration
Vector Databases
Workflow
Microsoft Certified Professional
Evaluation
Optimization
Terraform
Machine Learning (ML)
Artificial Intelligence
Microsoft Azure

Summary

InterImage is looking for engineers who thrive where innovation meets execution. Our Product Division rapidly transforms emerging technologies into operational capabilities supporting mission-critical customers. This isn't a research-only position. You'll take Generative AI concepts from proof of concept to production, designing, developing, deploying, and continuously improving AI-powered applications that solve real-world operational problems. If you enjoy building with the latest LLMs, experimenting with emerging AI technologies, and deploying secure cloud-native solutions in Azure, we'd like to meet you.

What You'll Do

Design and build Generative AI applications using commercial and open-source Large Language Models (LLMs).
Develop proof-of-concepts that evolve into production-ready software.
Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
Build intelligent agents and AI workflows capable of reasoning, automation, and decision support.
Develop REST APIs and backend services supporting AI applications.
Deploy scalable AI solutions within Microsoft Azure environments.
Design cloud-native architectures using Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
Build CI/CD pipelines supporting rapid AI deployment and model iteration.
Integrate AI capabilities into existing enterprise applications and mission systems.
Evaluate emerging AI technologies and rapidly prototype new capabilities.
Collaborate with software engineers, cloud architects, data scientists, and mission stakeholders to deliver innovative solutions.
Optimize model performance, latency, scalability, security, and cost.
Implement responsible AI practices, prompt engineering strategies, guardrails, and model evaluation techniques.

Requirements

Active Top Secret Clearance
5+ years of software development experience.
2+ years developing Generative AI or Machine Learning applications.
Strong Python development experience.
Experience working with Large Language Models including GPT, Llama, Claude, Mistral, or similar models.
Experience with prompt engineering and AI workflow development.
Experience building APIs using FastAPI, Flask, or similar frameworks.
Experience deploying cloud-native applications in Microsoft Azure.
Familiarity with containerization technologies including Docker and Kubernetes.
Experience with Git, CI/CD pipelines, and DevSecOps practices.
Strong understanding of software architecture and distributed systems.

Preferred Qualifications

Experience with Azure OpenAI Service.
Experience building Retrieval-Augmented Generation (RAG) systems.
Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
Experience with vector databases such as Pinecone, Milvus, pgvector, Azure AI Search, or Chroma.
Experience developing AI agents and autonomous workflows.
Familiarity with MCP (Model Context Protocol) and agent interoperability concepts.
Experience with model evaluation, observability, and prompt optimization.
Experience deploying AI solutions in secure or classified environments.
Familiarity with Infrastructure as Code using Terraform or Bicep.
Knowledge of Azure Machine Learning, Azure AI Foundry, or Azure Cognitive Services.

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: 10123709
Position Id: b17f5e8958f440de5e23826ada7f2ea5
Posted 30+ days ago

Fitment

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Job Details

Skills

Innovation
Emerging Technologies
Research
Open Source
Reasoning
Decision Support
Storage
Collaboration
Scalability
Security Clearance
Software Development
Generative Artificial Intelligence (AI)
Python
Large Language Models (LLMs)
Prompt Engineering
Flask
Cloud Computing
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
DevSecOps
Software Architecture
LangChain
Semantics
LlamaIndex
Orchestration
Vector Databases
Workflow
Microsoft Certified Professional
Evaluation
Optimization
Terraform
Machine Learning (ML)
Artificial Intelligence
Microsoft Azure

Innovation
Emerging Technologies
Research
Open Source
Reasoning
Decision Support
Storage
Collaboration
Scalability
Security Clearance
Software Development
Generative Artificial Intelligence (AI)
Python
Large Language Models (LLMs)
Prompt Engineering
Flask
Cloud Computing
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
DevSecOps
Software Architecture
LangChain
Semantics
LlamaIndex
Orchestration
Vector Databases
Workflow
Microsoft Certified Professional
Evaluation
Optimization
Terraform
Machine Learning (ML)
Artificial Intelligence
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Summary

Design and build Generative AI applications using commercial and open-source Large Language Models (LLMs).
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Build intelligent agents and AI workflows capable of reasoning, automation, and decision support.
Develop REST APIs and backend services supporting AI applications.
Deploy scalable AI solutions within Microsoft Azure environments.
Design cloud-native architectures using Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
Build CI/CD pipelines supporting rapid AI deployment and model iteration.
Integrate AI capabilities into existing enterprise applications and mission systems.
Evaluate emerging AI technologies and rapidly prototype new capabilities.
Collaborate with software engineers, cloud architects, data scientists, and mission stakeholders to deliver innovative solutions.
Optimize model performance, latency, scalability, security, and cost.
Implement responsible AI practices, prompt engineering strategies, guardrails, and model evaluation techniques.

Requirements

Active Top Secret Clearance
5+ years of software development experience.
2+ years developing Generative AI or Machine Learning applications.
Strong Python development experience.
Experience working with Large Language Models including GPT, Llama, Claude, Mistral, or similar models.
Experience with prompt engineering and AI workflow development.
Experience building APIs using FastAPI, Flask, or similar frameworks.
Experience deploying cloud-native applications in Microsoft Azure.
Familiarity with containerization technologies including Docker and Kubernetes.
Experience with Git, CI/CD pipelines, and DevSecOps practices.
Strong understanding of software architecture and distributed systems.

Preferred Qualifications

Experience with Azure OpenAI Service.
Experience building Retrieval-Augmented Generation (RAG) systems.
Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
Experience with vector databases such as Pinecone, Milvus, pgvector, Azure AI Search, or Chroma.
Experience developing AI agents and autonomous workflows.
Familiarity with MCP (Model Context Protocol) and agent interoperability concepts.
Experience with model evaluation, observability, and prompt optimization.
Experience deploying AI solutions in secure or classified environments.
Familiarity with Infrastructure as Code using Terraform or Bicep.
Knowledge of Azure Machine Learning, Azure AI Foundry, or Azure Cognitive Services.

Dice Id: 10123709
Position Id: b17f5e8958f440de5e23826ada7f2ea5
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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