Job 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

Requirements

Must-haves

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
Clearance: Secret (prefer TS)
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
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

Nice-to-haves

Salary: $185,000-$195,000 + Strong Annual Bonus
Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus)
Active Secret clearance required (Top Secret or higher preferred)
Prior experience working on enterprise-scale platforms is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonreactnext.jsllmci/cdawsazuregcpdocker

Platform: manatal
Effort: medium