Sr. AI Software Engineer (GenAI / AWS Bedrock)

Reston, VA, US • Posted 12 hours ago • Updated 5 hours ago
Contract W2
On-site
$70/hr. on W2
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Job Details

Skills

  • RAG
  • Langchain
  • Langgraph
  • LLM
  • Bedrock

Summary

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Senior AI Software Engineer Generative AI (AWS Bedrock)

Location: Reston, VA (Hybrid / Onsite as applicable)

About the Role

We are seeking a Senior AI Software Engineer to design and build production grade AI applications powered by large language models (LLMs) and foundation models. In this role, you will develop scalable, commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real world products and platforms.

You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data driven insights.

This is a hands on engineering role for individuals passionate about transforming cutting edge AI technology into robust, reliable, and scalable applications.

What You'll Do AI & LLM Application Development
  • Design and develop production-ready AI applications using models available through AWS Bedrock and external providers
  • Build and deploy:
    • Retrieval-Augmented Generation (RAG) systems
    • AI copilots and conversational agents
    • AI-driven analytics and insights platforms
    • Automated workflows and agent-based systems
    • Document intelligence and document AI pipelines
Model & Platform Experience
  • Work with foundation models and APIs, including:
    • AWS Bedrock (Anthropic Claude, Amazon Titan, Meta Llama, Cohere)
    • OpenAI
    • Open-source LLMs
  • Implement multi-model routing and orchestration strategies
Backend & Cloud Engineering
  • Develop APIs and microservices using:
    • Python
    • Java, TypeScript, or Go (any one or more)
  • Build cloud-native architectures leveraging:
    • AWS S3, API Gateway, Lambda, Step Functions
    • ECS / EKS, Docker, Kubernetes
    • FastAPI
    • Terraform (Infrastructure as Code)
Data, Embeddings & Search
  • Create scalable pipelines for:
    • Document ingestion and preprocessing
    • Embedding generation
    • Knowledge indexing and semantic search
    • Model evaluation and benchmarking
  • Work with vector databases including:
    • PostgreSQL (pgvector)
    • OpenSearch
    • FAISS
    • S3-based vector stores
AI Operations, Evaluation & Observability
  • Implement LLM monitoring and observability including:
    • Tracing and logging
    • Hallucination detection
    • Cost monitoring and optimization
    • Prompt performance analysis
    • Model drift detection
  • Design evaluation frameworks and automated testing pipelines
  • Apply AI safety best practices, guardrails, and prompt management
Advanced AI Capabilities
  • Build tool-using LLMs and AI agents
  • Experience with orchestration frameworks:
    • LangChain
    • LangGraph
    • LlamaIndex
  • Optimize inference latency, reliability, and cost
  • Deploy models using Docker and Kubernetes
  • Experience with:
    • MCP / FastMCP
    • Reinforcement Learning (a plus)
    • AWS SageMaker and MLOps workflows
What We're Looking For

The ideal candidate:

  • Thinks like a systems architect and builder
  • Has delivered AI-driven products to production
  • Understands tradeoffs between models and architectures
  • Can design robust, scalable AI pipelines
  • Is comfortable working in a rapidly evolving AI landscape
  • Values strong engineering fundamentals and pragmatic decision-making
Example Problems You'll Work On
  • Build an enterprise knowledge assistant using AWS Bedrock
  • Design AI agents that automate complex business workflows
  • Develop document intelligence pipelines for financial or operational data
  • Architect multi-model orchestration frameworks
  • Optimize LLM cost, latency, and reliability at scale
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: 10515154
  • Position Id: 2026-6171
  • Posted 12 hours ago

Company Info

About Aroha Technologies

Michael Arrington, founder and co-editor of Tech Crunch once famously said that ‘The best startups generally come from somebody needing to scratch an itch’.

 Quite true to the thought, Aroha Technologies Inc was launched in 2008 in Florida. While we began our journey with a powerful Staffing Specialist & Software Development, Today our procedure has amplified into a more robust and simplified solution for Marketers looking for consistent and long term.

In our quest to do better, we resolve to simplify user acquisition, retention, engagement and large Business without blinking an eyelid! A semi-remote team spread across the globe, we are here to help you one step at a time.

Unmatchable growing excellence When AROHA was formed, we interviewed many potential clients and business colleagues and asked what a single important question seemed: “If you could design a firm to meet your needs, what would it look like?” The answers to that question have guided our thinking and planning on an ongoing basis, and form the core of our thinking about how we treat our clients and our employees, whom we call associates.

At a most basic level, we have stated our mission in a promise to our clients and our associates: “Unmatchable growing excellence.” This alignment governs superior service to our customers and supports our associates who perform that work, which cannot be matched by our competitors.

In short, we believe that care of our associates, disciplined financial management, and constant attention to the fundamentals of good delivery adds up to a successful, scalable business.

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