Generative AI Applications Engineer (Agents & RAG)

New

Location: Washington, DC; Workplace Type: RemoteFull-Time

Salary103,200 - 203,400 USD per year

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Job Details

Built and deployed a production GenAI application, such as a chatbot, copilot, assistant, or enterprise AI application.
Hands-on experience with LLMs such as GPT, Claude, Llama, Gemini, or Mistral via APIs or self-hosted deployments.
Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data.
Experience shipping AI applications with LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, or similar frameworks.
Strong Python development skills for building and integrating AI/ML applications.
Owned AI solutions through the full production lifecycle, including deployment and operational support.
Active U.S. citizenship.

Build agentic workflows and RAG systems for mission data and environments.
Design task decomposition, tool use, guardrails, and recovery or fallback strategies using agent frameworks.
Integrate AI applications with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services.
Compare models for quality, safety, latency, and cost; author and test prompts and policies.
Build retrieval pipelines and vector search, including data preparation, chunking, metadata, and information retrieval evaluations.
Instrument metrics, logs, and traces; run A/B experiments and maintain incident playbooks.
Define SLIs and SLOs, participate in on-call and postmortems, and optimize token usage and spend.
Ship reusable SDKs, CI/CD templates, Terraform/IaC modules, and evaluation harnesses.
Deliver applications into hybrid, restricted, or air-gapped environments with Zero Trust principles and audit-ready controls.

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