Full Stack Developer

Hybrid in Washington, DC, US • Posted 3 days ago • Updated 3 days ago
Contract Independent
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Full Stack
  • DevSecOps
  • Red Hat
  • Ansible
  • Containerization
  • AI Architecture

Summary

Job Title: Full Stack Developer

Location: Washington, D.C. / Hybrid (%40% On Site)

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 Degree

Travel Required up to 25%

Special Requirements  

Work Authorization:  s

Clearance Required: Public Trust

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTP9p2tQ2A8u0CC
  • Position Id: 8956149
  • Posted 3 days ago
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