Machine Learning Engineer

Responsibilities

• Build and deploy AI agents to automate and optimize labor-intensive workflows.
• Empower the human workforce to discover new capabilities through AI.
• Support programs with R&D and customer-facing goals to accelerate the transition of novel research and solutions into impact.
• Create software to facilitate AI agent communication, integrating models and agents with external services via API calls.
• Test, debug, deploy, and monitor AI systems in target environments.
• Utilize a variety of open-source models, agentic tools, and proprietary models to develop innovative solutions.
• Create novel approaches to securing agentic workflows and evaluating their outcomes for accuracy, performance, and impact.
• Achieve compliance with ethical guidelines, transparency, and fairness principles in AI systems.
• Apply knowledge of generative AI models, including prompt engineering, chain-of-thought reasoning, and NLP tasks like entity extraction, summarization, and semantic search.

Requirements

• Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
• Minimum 3 years of experience with a Bachelor’s degree.
• Proficiency in Python and SQL.
• Familiarity with JavaScript, containerization (Docker/Rocky Linux), and developing & managing API endpoints (REST and FastAPI).
• Experience with developing agentic AI workflows/systems using Langchain, LangGraph, OpenAI Agents, Pydontic, UVicorn (webserver), and Streamlit (web apps).

Qualifications

• Familiarity with multi-agent orchestration.
• Experience with cybersecurity (Mandiant).
• AWS Cloud experience.

Preferred Qualifications

• Familiarity with multi-agent orchestration.
• Experience with cybersecurity (Mandiant).
• AWS Cloud experience.

Pay

N/A

Schedule

N/A

Benefits

N/A

Skills

N/A

Benefits

N/A

Pay

N/A

Schedule

N/A

Application Instructions

N/A