Generative AI Solutions Engineer (LLM, RAG, AWS)

ICONMA, LLC

  • Mc Lean, VA
  • 30+ days ago
  • $53.57 Per Hour
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Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Best Practicesunmatched
  • Cloud Computingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Improvementunmatched
  • Continuous Integrationunmatched
  • DevOpsunmatched
  • Dockerunmatched
  • GCP (Good Clinical Practices)unmatched
  • Health Planunmatched
  • Information Technology Consultingunmatched
  • Javaunmatched
  • Kernel Programmingunmatched
  • Mentoringunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Natural Language Processing (NLP)unmatched
  • Performance Analysisunmatched
  • Python Programming/Scripting Languageunmatched
  • REST (Representational State Transfer)unmatched
  • Scalable System Developmentunmatched
  • Semantic Searchunmatched
  • Use Casesunmatched

Description

Our Client, an IT Services and Consultant company, is looking for a Generative AI Solutions Engineer (LLM, RAG, AWS) for their Mc Lean, VA location.
 
Responsibilities:

  • Design and architect end-to-end GenAI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.)
  • Lead the implementation of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic AI systems
  • Define AI architecture patterns, best practices, and governance frameworks
  • Build scalable pipelines for data ingestion, vectorization (embeddings), and semantic search
  • Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions
  • Implement and manage AI model deployment on cloud platforms (Azure, AWS, GCP)
  • Ensure responsible AI practices, including security, compliance, and bias mitigation
  • Integrate GenAI solutions with enterprise systems (APIs, microservices)
  • Mentor engineering teams and drive AI adoption roadmap
  • Monitor solution performance and continuously improve accuracy, latency, and cost efficiency Technical Skills
 
Requirements:
  • Strong experience in Python and familiarity with ML/AI frameworks
  • Knowledge of containerization (Docker, Kubernetes
  • Experience with REST APIs, microservices architecture, and system design
  • Familiarity with DevOps/MLOps practices (CI/CD, model monitoring, versioning)
  • Hands-on experience with:
  • LLM frameworks: LangChain, LlamaIndex, Semantic Kernel
  • Vector databases: Pinecone, FAISS, Weaviate, Chroma
  • Cloud AI services: Azure OpenAI, AWS Bedrock, Google Vertex AI
  • Deep understanding of:
  • Transformer architectures and NLP concepts
  • Prompt engineering and evaluation techniques
  • RAG pipelines and embeddings
  • Mandatory skills: Gen AI, Python, AWS, Amazon Q, Kiro, Java, Spring boot, Microservice
  • Years of experience required; 12+
  • Years of Experience:   10.00 Years of Experience
 
Why Should You Apply?

Numbers & Facts

LocationMc Lean, VA
Salary$53.57 Per Hour

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