RedBeard Solutions

Job DescriptionJob DescriptionJob Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC Number of openings: 1 Experience: 5+ years of professional experience as a data engineer Salary: $165,000 - $175,000 Clearance: Secret (prefer TS) Position Summary We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures. You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments. Key Responsibilities Design and build robust data ingestion and processing pipelines to support AI and GenAI applications Develop and maintain high-quality Python-based data workflows, including testing and validation Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes Work across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial) Utilize containerization technologies (Docker) to support scalable and portable deployments Contribute to the development and optimization of data systems used by generative AI applications Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics What You'll Experience Opportunity to work on high-impact AI platform initiatives A fast-paced, performance-driven environment with strong technical mentorship Continuous learning through structured development programs and real-world problem solving A collaborative culture that values innovation, ownership, and diverse perspectives Exposure to globally distributed teams and modern engineering practices Competitive compensation along with a comprehensive benefits package Required Qualifications U.S. Citizenship is required Prior experience supporting defense or government environments, including handling classified or sensitive data Active Secret clearance required (Top Secret or higher preferred) 5+ years of experience in data engineering, with a strong focus on cloud-based solutions Technical Skills & Expertise Strong proficiency in Python for data engineering and pipeline development Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus) Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices Practical experience with Docker and containerized workflows Strong background in data pipeline performance tuning, monitoring, and troubleshooting Excellent analytical and problem-solving capabilities Effective communication skills and ability to collaborate within cross-functional teams

Job DescriptionJob DescriptionJob Title: Platform Full Stack Engineer Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC Number of openings: 1 Experience: 7+ years of experience as a Software Engineer Salary: $185,000-$195,000 + Strong Annual Bonus Clearance: Secret (prefer TS) Role Overview We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge generative AI technologies within a highly collaborative and fast-paced engineering environment. You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. A key focus of this position is adapting and extending platform functionality for government and defense-oriented applications. Key Responsibilities Design, develop, and maintain full-stack applications using Python, React, and Next.js Build and integrate APIs and agent-based systems, including AI-driven and LLM-powered workflows Leverage large language models (LLMs) for data processing, retrieval, and intelligent synthesis Collaborate with cross-functional teams including engineers, data scientists, and product leaders Implement robust testing, debugging, and code optimization practices Contribute to the development of confidence scoring and validation pipelines for AI outputs Develop and maintain CI/CD pipelines to support efficient software delivery Work with knowledge graphs (Neo4j) and relational databases such as PostgreSQL or cloud-managed equivalents Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus) Utilize containerization technologies to support scalable and portable deployments Stay current with advancements in generative AI and agentic architectures, applying best practices to platform development What You'll Gain Hands-on involvement in building advanced AI and GenAI-driven platforms A high-performance engineering culture with strong mentorship and growth opportunities Continuous learning through structured programs and real-world technical challenges The opportunity to influence product direction and contribute innovative solutions Collaboration with globally distributed, highly skilled teams Competitive compensation and a comprehensive benefits package Required Qualifications U.S. Citizenship is required Experience supporting defense or government environments, including handling classified data Active Secret clearance required (Top Secret or higher preferred) 7+ years of professional experience in software engineering Prior experience working on enterprise-scale platforms is preferred Technical Skills & Expertise Strong proficiency in Python for backend development Hands-on experience building full-stack applications using React and Next.js Experience with AI agents / agentic systems and LLM-based application design Familiarity with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents such as Amazon RDS) Experience designing and managing CI/CD pipelines Understanding of confidence scoring mechanisms and validation pipelines in AI systems Experience working with cloud platforms (AWS, Azure, GCP) Knowledge of containerization technologies (e.g., Docker) Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment