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AI Junior Engineer

MetricStream

Salary not specified
Oct 5, 2025
Remote, US
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MetricStream is looking to develop GRC (Governance, Risk, and Compliance) use cases at the intersection of design, AI, and enterprise challenges by building and deploying AI-driven solutions and agents.

Requirements

  • Strong programming skills in Python, Typescript
  • Familiarity with LLMs, prompt engineering, or agentic workflows
  • Understanding of LangChain, LangGraph, or similar frameworks (academic, project, or professional exposure).
  • Knowledge of RAG patterns, embeddings, and similarity checks.
  • Exposure to vector databases and AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
  • Curiosity and eagerness to learn about foundation model fine-tuning (LoRA, DSPy) and multi-agent systems.
  • Strong problem-solving, analytical, and research abilities.

Responsibilities

  • Solutioning problems using user-centric design techniques, leveraging modern architectures and AI.
  • Build production-ready AI use cases leveraging LLMs, agents, and context engineering solutions.
  • Design and implement memory and knowledge solutions, including RAG validation with custom scripts and embedding-based similarity checks.
  • Develop AI-driven information discovery solutions like semantic search using vector databases (e.g., Pinecone, FAISS, Weaviate).
  • Explore foundation models and fine-tuning techniques (LoRA, DSPy, adapter frameworks) while optimizing performance, cost, and security.
  • Work with ML libraries (PyTorch, TensorFlow) and experiment with RNN/CNN architectures.
  • Collaborate with mentors to solution AI/ML use cases in the GRC domain, working directly with stakeholders in client-facing engagements.

Other

  • Ability to thrive in a fast-paced, client-facing environment, working with business teams to align technical solutions with real-world needs.
  • Document findings, prototype results, and contribute to knowledge-sharing initiatives in a fast-paced delivery environment.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Alternatively, if you’ve been self-learning and experimenting independently and are confident in your skills, we’d love to hear from you.