AI/ML Engineer

Job Summary

Required Qualifications

• 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• 3+ years of experience working in cloud environments, including AWS and Azure
• 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• Ability to obtain a Secret clearance
• Bachelor’s degree
• Nice If You Have: Master’s degree
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience with client engagements, client-facing project work, and business development
• Experience with project work in deep learning, computer vision, NLP, or signal processing
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
• Ability to adapt in a rapidly changing environment
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
• Secret clearance
• Master's degree
• Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.