Job Title: Full Stack Developer
Location: Washington, D.C. / Hybrid
Duration: Long Term Contract
Technical Skills: Years/Level of Experience
DevSecOps (3-5 yrs experience)
Red Hat Ansible (3-5 yrs experience)
Containerization (3-5 yrs experience)
AI Architecture (3-5 yrs experience)
Role Description:
As a software engineer, you will lead the development of our next-generation Agentic AI systems. Unlike traditional chatbots, you will build autonomous agents capable of reasoning, planning, and executing multi-step tasks to solve complex business problems.
You will be responsible for the entire lifecycle: from developing Retrieval-Augmented Generation (RAG) pipelines and orchestrating multi-agent workflows in Python, to provisioning scalable, secure AWS infrastructure using Terraform.
Agentic Orchestration: Design and implement autonomous AI agents using frameworks like LangGraph, CrewAI, or AutoGen. Develop custom logic for task decomposition, tool-use (function calling), and self-correction loops.
RAG Architecture: Build and optimize RAG pipelines to ground LLMs in enterprise data. This includes managing document chunking strategies, embedding models, and vector database integration (e.g., Amazon OpenSearch or Pinecone).
Backend Development: Develop robust, features in Python (Lambdas/FastAPI) to serve as the backbone for AI agents.
Infrastructure as Code (IaC): Use Terraform to manage all cloud resources, ensuring that environments (Dev, Staging, Prod) are reproducible, version-controlled, and secure.
AWS Cloud Engineering: Deploy and scale AI workloads using Amazon Bedrock, AWS Lambda, ECS/EKS, and S3.
Evaluation & Observability: Implement ""LLM-as-a-judge"" frameworks and tracing tools (e.g., LangSmith, DeepEval) to monitor agent reasoning, reduce hallucinations, and optimize token costs.
Education Level : Bachelor's
Work Location On-site (Government / AFS Site): Washington, D.C. / Hybrid
On-site %:40% (travel up to 25%)
Clearance Required: Public Trust
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