Genai Engineer

GenAI Engineer role focused on implementing RAG architectures, developing GenAI enhancements, designing model guardrails, and delivering agentic workflows. The role involves integrating sources with AI models, performing data analysis, developing APIs, and optimizing prompts for LLM applications. It requires experience with GenAI concepts and Python for data manipulation and programming.

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

  • GenAI solutioning
  • GenAI concepts (Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries)
  • Python for data cleaning, exploratory analysis, statistics, or visualization
  • Object-oriented programming (C++, Java, or Python)
  • AWS services
  • API development
  • Prompt engineering
  • Code reviews
  • Responsible AI requirements/documentation

Nice to have

  • Git
  • CI/CD
  • Programmatic cloud service integration (e.g., AWS)
  • Machine learning/statistical techniques for structured and unstructured data
  • Extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data)
  • 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
  • 1+ year of experience in GenAI solutioning or development
  • 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 1+ year of experience in object-oriented programming such as C++, Java, or Python

Other signals

  • GenAI solutioning
  • Agentic Workflows
  • RAG architectures
  • model guardrails
  • prompt engineering