Senior AI Engineer

Blu Omega
Atlanta, GA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$140,000.0 - $155,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Application Services JIRA Authentication Protocols Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Code Review
+33 more
Collaborative Software Databases Continuous Integration Corona (Software Development Kit) Information Engineering Web Development Github Issue Tracking Systems JSON Python (Programming Language) Machine Learning Open Source Technology Scrum Methodology Cloud Services Software Engineering Web Applications Web Application Frameworks Cloud Platform System Chatbots Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Backend Git AI Platforms Information Technology Low Latency Virtual Agents Restful APIs Data Pipelines Devsecops Docker

Job description

Blu Omega is seeking an AI Engineer to design, develop, and deliver production-ready generative AI applications supporting mission-critical federal programs.

In this role, you will build AI-enabled web applications, retrieval-based knowledge assistants, chatbots, and agentic workflows that help users access information, automate complex processes, and make better-informed decisions. You will work hands-on with large language models (LLMs), retrieval-augmented generation (RAG), AI agents, APIs, enterprise data sources, and cloud-native application services to turn emerging AI capabilities into practical, scalable solutions.

You will collaborate with AI engineers, software engineers, enterprise and solution architects, data engineers, product owners, and DevSecOps teams to take AI solutions from concept through production. The ideal candidate combines strong Python and application development experience with hands-on generative AI expertise and an understanding of how to build, evaluate, secure, and operate LLM-powered applications in enterprise environments.

Strong preference will be given to candidates located in Atlanta, GA, with consideration for candidates located in Washington, DC.

What You’ll Do

  • Design, develop, and enhance production generative AI applications and AI-enabled web solutions.
  • Build RAG solutions, enterprise knowledge assistants, conversational AI applications, chatbots, and agentic workflows.
  • Develop AI solutions using Azure AI Foundry, Azure OpenAI, Foundry Agent Service, and related Azure services.
  • Design agent and LLM workflows incorporating tool and function calling, structured outputs, guardrails, orchestration, and human-in-the-loop review.
  • Integrate AI applications with REST APIs, enterprise data sources, databases, cloud services, and MCP-enabled tools.
  • Develop secure, cloud-native backend services and web applications using Python, modern web frameworks, containers, and cloud services.
  • Implement and support multi-agent workflows that coordinate models, tools, data sources, and application services.
  • Test, evaluate, monitor, and optimize AI applications for response quality, reliability, latency, security, and cost.
  • Apply modern software engineering practices, including Git-based development, code reviews, automated testing, CI/CD, and Agile delivery.
  • Partner with engineering, architecture, data, cloud, and DevSecOps teams to deliver secure, scalable, and maintainable production AI solutions.

Requirements

  • 5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related technical discipline.
  • 1+ years of hands-on experience developing generative AI or agentic AI solutions using LLM APIs, prompt engineering, tool/function calling, structured outputs, RAG, agents, or similar techniques.
  • Strong hands-on development experience with Python, APIs, backend services, data pipelines, and web application frameworks.
  • Experience working with REST APIs, JSON-based interfaces, authentication mechanisms, and external service integrations.
  • Experience with Microsoft Azure, AWS, or another major cloud platform, including deploying or integrating applications with cloud-hosted services.
  • Understanding of LLM application fundamentals, including tokens, context windows, system and user prompts, model parameters, embeddings, retrieval, structured outputs, and techniques for guiding and evaluating model responses.
  • Experience with modern software development and collaboration tools such as Git, GitHub, Jira, pull requests, code reviews, issue tracking, and Agile/Scrum practices.
  • Bachelor’s degree in computer science, engineering, or a related field.
  • Ability to obtain and maintain a Public Trust or suitability determination, as required by the client or contract.
  • Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder).

Nice to Have

  • Hands-on experience with Azure AI Foundry, Azure OpenAI, Foundry Agent Service, or related Microsoft AI services.
  • Experience with Docker, Azure Container Apps, Azure App Service, or similar containerized and cloud-native application platforms.
  • Experience with Model Context Protocol (MCP), agent tool calling, and multi-agent application development.
  • Experience with AI agent frameworks such as Microsoft Agent Framework, LangGraph, PydanticAI, or similar technologies.
  • Experience implementing LLM evaluation, tracing, monitoring, observability, and quality-assurance capabilities.
  • Experience with CI/CD, automated testing, and cloud-based deployment practices for AI applications.
  • Exposure to fine-tuning, hosting, or serving open-source LLMs and associated model-serving frameworks.
  • Knowledge of AI governance, responsible AI, security, and AI risk-management practices.
  • Experience supporting government, healthcare, or other regulated environments.
  • Strong communication skills with the ability to explain technical problems, implementation decisions, and trade-offs to technical and non-technical stakeholders.

  • Eligible for Public Trust or equivalent clearance.

Benefits & conditions

Salary Range: $140,000.00 - $155,000.00 Final compensation is based on technical skills, experience, education, certifications, and clearance.

Blu Omega Benefits & Perks

  • Medical, Dental, and Vision coverage through national providers
  • 401(k) with company match (eligible after 6 months; vesting applies)
  • Company-paid Life and AD&D insurance with additional voluntary options
  • Short-term disability (company-paid) and long-term disability options
  • Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
  • Telehealth and virtual care options through medical plans
  • Pet insurance, legal services, and identity theft protection options
  • Paid Time Off (PTO) for eligible employees
  • Paid federal holidays for salaried employees
  • Access to wellness programs, discounts, and lifestyle benefits
  • Benefits eligibility and offerings may vary based on role and employment status

About the company

Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support.

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