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Job Description

Quevera LLC is hiring a Senior Generative AI Engineer to support an enterprise GenAI modernization engagement on AWS for a large customer in Herndon, Virginia and Springfield, Virginia.

Responsibilities

  • Design and implement intelligent model-routing logic using ML-based classification to select appropriate LLMs based on conversational context, task complexity, and performance requirements
  • Build and maintain orchestration layers using AWS Bedrock, LangChain, or custom frameworks for multi-model workflows
  • Train, evaluate, and iterate on classification models using evaluation frameworks and feedback loops
  • Architect conversation-context analysis, retrieval, and embedding strategies to interpret user intent across multi-turn interactions
  • Develop prompt-engineering standards and context-window management techniques to support intent classification and routing
  • Architect enterprise-scale GenAI solutions with high availability, performance optimization, and cost management
  • Apply GenAI platform practices including observability, model evaluation, guardrails, responsible AI controls, and versioning
  • Design and maintain data extraction and transformation pipelines for model training, evaluation, and enterprise application integration
  • Partner with customer stakeholders and technical counterparts to gather requirements, validate solutions, and participate in Agile/Scrum ceremonies
  • Coordinate with the Engagement Manager to track progress and risks, and produce technical documentation, architecture diagrams, and handoff artifacts

Requirements

  • Active TS/SCI clearance with Polygraph required
  • 5+ years of software development and cloud architecture experience
  • 2+ years hands-on AWS experience with production workloads
  • 2+ years experience with Generative AI technologies and LLM deployment
  • Proven track record designing and implementing enterprise-scale architecture
  • Experience working with NatSec customers
  • Deep understanding of GenAI foundation models and deployment patterns
  • Strong programming skills in Python and infrastructure-as-code tools
  • Experience with vector databases and semantic search technologies
  • Expert-level knowledge of AWS services including Amazon Bedrock, OpenSearch Service, CloudWatch, ECS/EKS, and RDS/DynamoDB
  • Strong understanding of security automation and compliance frameworks
  • Ability to work independently and drive initiatives with minimal oversight
  • Strong problem-solving and analytical thinking skills
  • Experience leading technical discussions and influencing architecture decisions
  • Ability to work in ambiguous, fast-paced environments while delivering measurable customer outcomes
  • Must be able to obtain and maintain Springfield, VA customer accounts
  • Must be able to travel onsite periodically for meetings and ceremonies

Technologies

  • AWS
  • Amazon Bedrock
  • LangChain
  • Python
  • OpenSearch Service
  • CloudWatch
  • ECS
  • EKS
  • RDS
  • DynamoDB
  • Vector databases
  • Semantic search technologies

Benefits

  • 100% employer-paid medical coverage (optional plan)
  • Competitive options for Medical, Dental and Vision insurance
  • Employer-paid short-term and long-term disability coverage
  • Employer-paid life insurance
  • $5,000 annually for education, training, certifications, and professional development
  • Career advancement through the structured iQTouch Program
  • Up to 6% 401(k) match
  • Additional 4% profit-sharing contribution, at company discretion

Desired Skills

  • Ability to contribute to complex technical challenges and prototype innovative solutions
  • Ability to transfer knowledge to customer teams
  • Ability to balance strategic thinking with hands-on implementation
  • Ability to deliver enterprise-grade solutions under tight timelines

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