AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Execute the AI strategy to enhance the adoption of AI technologies throughout the client organization.

• Collaborate with relevant stakeholders to set up an on-premises AI server.

• Incorporate AI functionalities, such as prompt orchestration, tool/function calling, embeddings, and fine-tuning, into various applications and services.

• Work alongside data scientists, platform engineers, and product teams to refine use cases, deliver POCs/MVPs, and prepare them for scalability.

• Adhere to responsible AI practices and comply with security requirements across both commercial and public sector environments.

• Drive digital transformation projects utilizing AI technologies to enhance mission success and operational efficiencies.

⛳️ Requirements

• Possession of an active and maintained “SECRET” Federal or DoD security clearance.

• Bachelor’s degree required.

• Minimum of eight (8) years of professional experience.

• At least three (3) years of experience in software, data, RAG architecture/vector databases, or ML engineering.

• Proven experience in building and managing cloud-native services, including OpenAI, Anthropic, Google Gemini, or AWS Bedrock.

• A minimum of two (2) years specifically focused on Generative AI/LLM technologies.

• At least one (1) year of experience optimizing token efficiency and cost management in production LLM applications, which includes prompt compression, caching, context window management, or model routing.

• Demonstrated experience in deploying and managing on-premises, self-hosted model infrastructure.

• Experience architecting scalable hybrid AI/ML solutions that integrate on-premises and cloud infrastructure end-to-end.

• Familiarity with AI security concepts such as adversarial robustness, model access controls, and data protection in restricted environments.

• Proficiency in common data science tools, particularly R, Python, and MATLAB, with a strong emphasis on Python.

• Capability to produce clear documentation and work collaboratively within cross-functional teams.

• Experience contributing to client-facing engineering roles in consulting or product settings.

• Background in engaging with end-users to gather and document business and functional requirements.

• Experience working with technical teams throughout the complete software development life cycle.

• Understanding of organizational planning and project management related to lifecycle development processes.

🏝️ Benefits

• Medical, Rx, Dental & Vision Insurance.

• Personal and Family Sick Time & Company Paid Holidays.

• Position may qualify for a discretionary variable incentive bonus.

• Parental Leave and Adoption Assistance.

• 401(k) Retirement Plan.

• Basic Life & Supplemental Life Insurance.

• Health Savings Account, as well as Dental/Vision & Dependent Care Flexible Spending Accounts.

• Short-Term & Long-Term Disability coverage.

• Student Loan PayDown assistance.

• Tuition Reimbursement, Personal Development & Learning Opportunities.

• Skills Development & Certifications support.

• Employee Referral Program.

• Corporate Sponsored Events & Community Outreach initiatives.

• Emergency Back-Up Childcare Program.

• Mobility Stipend.

• Flexible benefits package.