AI Software Engineer

14 days ago

Tysons, VA, USAEntry Level / Mid Level

Base Salary

$120k - $150k/yr

Responsibilities

Prototype, customize, and refine generative AI and LLM-powered capabilities.
Develop agentic AI systems involving model selection, agent creation, tool calling, response synthesis, and background agents.
Collaborate with data engineers, software engineers, data scientists, and stakeholders to deliver operational AI systems.
Automate model deployment workflows using infrastructure as code, CI/CD pipelines, and container orchestration.
Monitor deployed AI systems, tune performance, and apply reliability and scalability best practices.
Write clean, documented, reproducible code aligned with industry and federal guidelines.
Stay current with AI and machine learning trends and participate in mentorship and technical design reviews.

Bachelor’s or master’s degree in computer science, AI/ML, or a related field.
1–5 years of hands-on experience delivering AI/ML solutions.
Experience with generative AI, LLMs, and tool calls using MCP.
Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform.
Deep understanding of OpenAI, Anthropic, Gemini, and Bedrock AI APIs.
TypeScript proficiency and familiarity with Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
Python proficiency and familiarity with uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured.
Experience deploying applications with AWS or GCP and using Docker and Kubernetes.
Familiarity with GitLab CI pipelines and AI coding tools including Claude Code, Codex, and Antigravity.
Strong communication skills and a client-oriented mindset.
U.S. citizenship and eligibility for a DoD Secret clearance.
Preferred exposure to data engineering, data science, UI/UX, cloud engineering, platform engineering, Terraform, Open Tofu, AWS CDK, CloudFormation, federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

1,001-5,000 employees