AI Engineer

Cyberhill Partners is seeking a full-time, remote AI Engineer (0–5 years experience) to help build, deploy, and scale enterprise AI solutions, including LLM applications, RAG pipelines, and predictive analytics. This role offers hands-on experience working with modern AI stacks alongside senior experts on high-impact projects for enterprise and government clients, with a salary range of $80,000–$140,000.

Cyberhill Partners is a professional services firm specializing in engineering future-state software solutions for Fortune 500 companies. Focusing on cybersecurity, cloud computing, data analytics, and AI, Cyberhill provides comprehensive implementation services that drive success and security. With over 800 complex cybersecurity implementations completed, Cyberhill is an established and trusted services partner.

Cyberhill Partners is a technology consulting firm focused on building secure, scalable, and intelligent systems for enterprise and government clients. We specialize in modern AI, data platforms, and cloud-native architectures—delivering solutions that power high-stakes decision-making environments.

Cyberhill Partners is seeking an AI Engineer to help design, build, and scale next-generation enterprise AI solutions. This role is well-suited for recent graduates with strong AI/ML portfolios or junior-to-mid-level engineers looking to deepen their real-world production experience.

As an AI Engineer, you’ll work closely with Senior Data Scientists and Ontology Architects to transform complex data into actionable intelligence. You won’t be building models in isolation—this role focuses on creating trusted AI Foundations used by large enterprises and government organizations.

• Develop, optimize, and deploy AI/ML models, including LLM-based applications, RAG pipelines, and predictive analytics
• Rapidly prototype Proofs of Concept (PoCs) to demonstrate AI capabilities and value to clients
• Prepare and manage large-scale structured and unstructured datasets to ensure high-quality model inputs
• Support deployment of AI models into production environments using MLOps best practices
• Build and maintain APIs that integrate AI capabilities into client-facing and enterprise systems
• Implement monitoring, logging, and performance tracking to detect drift and ensure model reliability
• Partner with AI Managers to support technical feasibility assessments and client proposals
• Collaborate with Ontology Architects to integrate symbolic reasoning (Knowledge Graphs) with neural models (LLMs)
• Maintain clear documentation for codebases, architectures, and deployment processes

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related technical field with an AI/ML focus
• Experience: 0–5 years of experience in AI/ML development (including internships, research, or significant academic projects)
• Programming: Strong proficiency in Python; familiarity with Java, C++, or Go is a plus
• AI/ML Stack: Hands-on experience with frameworks such as PyTorch, Tensor Flow, Lang Chain, Llama Index, or Hugging Face
• Data Skills: Experience with SQL and vector databases (Pinecone, Weaviate, Milvus) and/or graph databases (Neo4j)
• Cloud Exposure: Familiarity with AWS, GCP, or Azure
• Soft Skills: Strong communication skills and a consulting mindset—focused on solving business problems, not just technical challenges

• Rapid Career Growth: Performance-driven advancement with clear paths to Senior Engineer or AI Architect roles
• High-Impact Work: Build secure AI solutions for government and Fortune 500 clients—far beyond simple chatbot use cases
• Modern Technology Stack: Work with cutting-edge Generative AI, Knowledge Graphs, and secure cloud architectures
• Remote-First Culture: Flexible work environment with a highly collaborative, distributed team
• Salary Range: $80,000 – $140,000 annually, commensurate with experience, education, and technical depth
• Competitive benefits package
• Professional development and continuous learning support