Full Stack Engineer

RedBeard Solutions

  • Boston, Massachusetts
  • 3 days ago

    Highlights

    You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. 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.

    Numbers & Facts

    LocationBoston, Massachusetts
    Websitehttps://www.redbeardsol.com

    Description

    Job 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

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