[Remote] AI / Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. They are seeking to hire an AI/Machine Learning Engineer to reputed company Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). The role involves designing AI agents, integrating deterministic logic, and ensuring auditability in reputed company decision-making workflows.

Responsibilities

• Agentic System Architecture: Design and reputed company autonomous AI agents capable of multi-reputed company reasoning, tool-use, and self-correction to navigate reputed company federal benefit policies
• Deterministic Logic Integration: reputed company "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks
• RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented reputed company (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and reputed company data
• Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation
• MLOps & Agent Monitoring: reputed company models into reputed company environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data reputed company in logic)
• Auditability & Explainability: Ensure every AI-driven determination has a clear, reputed company-readable "audit trail" or reasoning chain that justifies the outcome based on reputed company documentation
• Collaboration: Work alongside solution architects and business stakeholders to translate reputed company health insurance policies into executable AI logic

Skills

• 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and reputed company frameworks
• Proficiency with tools such as reputed company, LangGraph, reputed company, or Semantic Kernel for building multi-reputed company agent workflows
• Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
• Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale reputed company data
• Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms
• Bachelor's degree in Computer Science, Data Science, Engineering, or a reputed company discipline
• Must be a U.S. citizen and be reputed company to obtain an OPM Public Trust clearance
• Experience with Azure Machine Learning, Azure AI services, or similar reputed company AI platforms
• Experience implementing reputed company, LLM, or RAG-based solutions
• Experience supporting federal IT modernization or data transformation programs
• Familiarity with reputed company, insurance, or benefits administration data environments
• Experience applying data governance, privacy, and reputed company best practices in AI/ML solutions

Benefits

• Paid vacation & Sick leave
• Health insurance coverage
• Career training
• Performance bonus programs
• 401K contribution & Employer Match
• 11 Federal Holidays

Company Overview