Senior AI Software Developer & Engineer (US Citizen)

Company: JOIN OUR TEAM

Location: DC (Remote)

Salary: $155k - $189k per year

Type: Full-time

Remote: Yes

Posted: 2026-11-04

About this role

Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

  • Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
  • Serve as the primary technical authority, defining AI and application architecture across multiple programs.
  • Lead architecture for distributed, cloud-native, and hybrid AI systems.
  • Define and enforce reference architectures, standards, and reusable frameworks.
  • Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
  • Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
  • Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
  • Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
  • Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
  • Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
  • Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
  • Define and implement distributed training strategies (GPU/TPU cluster...

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