Full Stack Engineer

RedBeard Solutions

Boston, Massachusetts

JOB DETAILS
SALARY
$185,000–$195,000 Per Year
SKILLS
Amazon Relational Database Service (RDS), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Applications, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Processing, Data Recovery, Data Science, Debugging Skills, Docker, GCP (Good Clinical Practices), Government, JavaScript, Mentoring, Microsoft Windows Azure, Modeling Languages, Neo4j, Performance Engineering, PostgreSQL, Problem Solving Skills, Product Design, Python Programming/Scripting Language, React.js, Relational Databases (RDBMS), Secret Clearance, Software Administration, Software Engineering, System Validation, Team Player, Technical Support, United States Citizen
LOCATION
Boston, Massachusetts
POSTED
30+ days ago

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

About the Company

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RedBeard Solutions