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Agentic AI & LLM Applications Engineer

Job in Ashburn, Loudoun County, Virginia, 22011, USA
Listing for: Blu Omega LLC
Full Time position
Listed on 2026-05-20
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 180000 USD Yearly USD 100000.00 180000.00 YEAR
Job Description & How to Apply Below

Senior AI Applications Engineer

Cloud/Infrastructure remote May 11, 2026

Agentic AI & LLM Applications Engineer

Remote

Public Trust Eligible

Blu Omega is seeking an Agentic AI & LLM Applications Engineer to support a federal program focused on next‑generation autonomous AI capabilities. This role operates in a fully remote environment and is responsible for building agentic AI workflows, orchestration systems, and backend AI‑powered application features. The position requires experience supporting AI systems, multi‑agent orchestration, and cloud‑native development within a mission‑driven environment.

Program

Overview
  • Program: ARPA‑H / NIH
  • Mission overview:
    Supporting the development of agentic AI systems to accelerate research, decision‑making, and product deployment at scale
  • Location:

    Remote
  • Clearance:
    Candidates must be eligible for Public Trust as a precondition of employment
  • Work Authorization:
    Must be legally authorized to work in the United States without current or future sponsorship
Responsibilities
  • Design and build core agentic workflows, including multi‑step reasoning, planning, memory, and tool‑use across single and multi‑agent systems
  • Implement communication patterns for agent collaboration and task handoff
  • Build and maintain tool‑calling layers, including definitions, schemas, error handling, and result formatting
  • Own integration with MCP clients for tool discovery and invocation
  • Develop multi‑agent workflows that are reliable, observable, and debuggable in production
  • Manage LLM orchestration, including prompt construction, context management, model selection, and response parsing
  • Build retrieval‑augmented generation (RAG) features such as query formulation, result ranking, and citation grounding
  • Develop prompt engineering patterns and system prompts for quality and consistency across multiple LLM providers
  • Manage context window budgets, including truncation, summarization, and pagination logic
  • Build evaluation pipelines for LLM quality, grounding, safety, and regression testing
  • Optimize token economics for cost‑efficient prompt and pipeline design
  • Translate product requirements into technical designs and ship features end‑to‑end
  • Prototype new AI features, run experiments, and iterate based on user data
  • Collaborate with product, UX, applied science, and operations teams
  • Ensure observability and reliability through tracing, logging, metrics, and application‑level SLOs
  • Build fallback and guardrail logic for AI services
  • Write production‑quality, tested, reviewed, and well‑documented code
  • Communicate technical decisions clearly and participate in design reviews
  • Mentor and unblock team members, ensuring security and compliance in all work
Required Qualifications
  • 7+ years of professional software engineering experience building and operating production systems
  • Proven experience in high‑velocity environments shipping complex products end‑to‑end
  • Strong proficiency in Python and at least one other backend language
  • Experience with cloud‑native systems and containerization
  • Experience developing and operating systems on major cloud platforms (AWS, GCP, or Azure)
  • Solid understanding of algorithms, data structures, APIs, and software design patterns
  • Experience with production LLM applications and multi‑agent AI systems
Preferred Qualifications
  • Experience with multi‑agent or agentic AI systems
  • Shipping AI products in production environments
  • Cloud‑native distributed systems experience
Compensation
  • Salary Range: $100,000 - $180,000 annually

Final compensation is based on technical skills, experience, and education.

Benefits
  • 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 voluntary options
  • Short‑term and long‑term disability options
  • Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
  • Telehealth and virtual care options
  • Pet insurance, legal services, and identity theft protection options
  • Paid Time Off (PTO) and 11 paid federal holidays
  • Access to wellness programs, discounts, and lifestyle benefits
Company Overview

Blu Omega is a Woman‑Owned Small Business delivering technology and…

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