Senior Genai Engineer

Senior GenAI Engineer role focused on developing and implementing GenAI solutions, including agentic workflows and RAG architectures, using cloud platforms like AWS Bedrock. The role involves evaluating foundational models, training enhancements, implementing guardrails, developing APIs, and optimizing prompts. It requires strong Python and object-oriented programming skills, experience with GenAI concepts, and a security clearance.

What you'd actually do

  1. Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  2. Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  3. Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  4. Perform data analysis/feature engineering using AWS services.
  5. Design, implement, and improve model guardrails and performance.

Skills

Required

  • Bachelor’s degree
  • Active High Risk Public Trust or Top Secret security clearance required
  • 2+ years of experience in GenAI solutioning or development
  • 2+ years of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 5+ years of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 5+ years of experience in object-oriented programming such as C++, Java, or Python
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice to have

  • Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
  • Knowledge of machine learning/statistical techniques for structured and unstructured data.
  • Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
  • Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim.

What the JD emphasized

  • Active High Risk Public Trust or Top Secret security clearance required
  • 2+ years of experience in GenAI solutioning or development
  • 2+ years of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar

Other signals

  • GenAI Engineer
  • GenAI enhancements
  • RAG architectures
  • agentic workflows
  • prompt engineering