Raas Infotek LLC

Raas Infotek LLC

Senior AI/ML Engineer – GenAI & LLM

Richmond, Virginia · Senior

Sponsorship not specifiedDetected 17 days ago
PythonDistributed SystemsBackend DevelopmentNoSQLVector DatabasesAWSGCPAzureDockerTerraformCI/CDRESTMachine LearningLLMsRAGAgentic AIMLOpsLangGraphCommunicationProblem Solving

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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from this employer's Department of Labor filings

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47% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 18 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Universal Service Administrative Co (Telecommuting From) · Corebridge Financial (Telecommuting From) · Department of Labor (Telecommuting From)Files as an H-1B dependent employer.

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About the role

  • We are looking for a highly skilled Senior AI/ML Engineer with strong experience in Generative AI, Large Language Models (LLMs), Machine Learning, Python, and cloud technologies.

Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
  • Develop and integrate LLM-powered applications, AI agents, and intelligent automation workflows.
  • Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
  • Work with frameworks such as LangChain and LangGraph to build LLM-based applications and agentic workflows.
  • Develop and integrate REST APIs and backend services for AI/ML applications.
  • Implement prompt engineering, model evaluation, monitoring, and optimization strategies.
  • Deploy and manage AI/ML solutions using AWS, Azure, or Google Cloud Platform.
  • Containerize applications using Docker and support deployment using Kubernetes.
  • Develop scalable and production-ready AI/ML pipelines.
  • Collaborate with Data Scientists, Software Engineers, Product Managers, and other stakeholders.

Requirements

  • Strong programming experience with Python.
  • Hands-on experience with Generative AI and LLM technologies.
  • Experience with LangChain, LangGraph, or similar LLM frameworks.
  • Experience with OpenAI, Azure OpenAI, Gemini, Claude, or similar LLM platforms.
  • Strong experience with REST APIs and microservices.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker and Kubernetes.

Nice to have

  • Preferred Skills

Skills

  • Work with vector databases such as Pinecone, FAISS, Weaviate, or similar technologies.
  • Stay current with emerging GenAI, LLM, Agentic AI, and Machine Learning technologies.
  • Strong understanding of RAG, embeddings, prompt engineering, and vector databases.
  • Experience working with relational and/or NoSQL databases.
  • Strong problem-solving and communication skills.

Benefits

  • Develop scalable machine learning and AI services using Python.
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