Full-Stack & AI Engineer

Overview

We’re looking for a highly motivated and visionary Full-Stack Engineer with deep expertise in Artificial Intelligence to join our core engineering team. In this role, you will be instrumental in advancing our flagship platforms like Intellego® XT, Discovery, and LocationWise. You will design, build, and deploy complex end-to-end distributed systems and AI-powered applications that process massive volumes of multi-modal investigative data. Working at the intersection of full-stack engineering and AI, you will build next-generation web interfaces, geospatial intelligence tools, and generative AI pipelines that help law enforcement turn complex data into actionable clarity.

What You'll Work On

• Developing complex, end-to-end distributed web applications on cloud-native platforms, primarily utilizing AWS.
• Integrating and deploying LLM and deep learning-based applications, including voice analytics (such as OpenAI Whisper), document analysis, and image/video intelligence (e.g., artifact detection) using open-source models.
• Building interactive, LLM-driven frontends and complex UI applications involving dynamic dashboards and precise mapping/geolocation for our location intelligence products.
• Designing scalable, high-throughput backend architectures utilizing Kubernetes, Kafka, Redis and distributed data stores.
• Utilizing AI-assisted coding tools (like Claude Code, Codex, or Devin) to dramatically accelerate development, code reviews, and automated testing cycles.
• Collaborating with cross-functional teams to engineer data platforms that fuse network intelligence, open-source intelligence, and high-precision location data into a "single pane of glass."

Key Responsibilities

• Architect, implement, and maintain high-performance full-stack applications using React (and related ecosystems) for the frontend and robust distributed technologies for the backend.
• Design, implement and troubleshoot microservices within Kubernetes-based environments, ensuring high availability and fault tolerance.
• Develop and optimize scalable data processing pipelines utilizing distributed systems theory, caching (Redis), search engines (OpenSearch), event streaming (Kafka), and diverse database architectures (Graph, Relational, Document, Multimodal).
• Drive the operationalization of Deep Learning and Generative AI models into production environments to augment human analysts.
• Implement secure, hardened access controls via robust OAuth and Active Directory (AD) integrations to maintain evidentiary integrity and auditability.
• Lead by example in modern software engineering practices, leveraging AI coding assistants for enhanced productivity and mentoring peers.

Required Experience & Qualifications

• 3-5 years of professional full-stack development experience building complex, large-scale distributed systems. Familiarity with Java, Python and JavaScript/Typescript based development.
• Extensive hands-on experience with cloud-native platforms such as AWS (preferred), GCP, or Azure.
• Proficiency in Kubernetes-based orchestration, deployment, and operational troubleshooting.
• Solid engineering background in distributed systems and state management (Kafka, Redis, OpenSearch, and various multi-modal databases).
• Deep expertise in frontend development using React.js, with a proven track record of delivering complex UIs (e.g., data-heavy dashboards, mapping, and geo-location products).

Must Have

• Verifiable experience building and deploying Deep Learning and Generative AI solutions (e.g., LLM-based UIs, voice/image/video analytics using open-source models).
• Practical experience incorporating AI-assisted coding tools (Claude Code, GitHub Copilot/Codex, Devin) into your daily engineering workflow.
• Strong understanding of enterprise security concepts, specifically OAuth and AD integration.

Nice to Have

• Hands-on DevOps, CI/CD, and infrastructure-as-code deployment experience, specifically within AWS.
• Additional background in large-scale big data platform development, data crawling and data engineering/processing.
• Previous experience in lawful intercept, telecommunications data (5G, IMSI/IMEI tracking), cybersecurity analytics, or digital forensics.
• Proficiency with Golang and Rust.

Compensation & Benefits

The expected base salary range for this position is $110,000 - $135,000. Actual compensation will be determined based on the candidate’s skills, experience, and qualifications. This role is also eligible to participate in SS8’s corporate bonus program, subject to the terms of the applicable plan. We offer a comprehensive benefits package including medical, dental, vision, 401(k) with company match, and paid time off.

To be considered, candidates must have unrestricted authorization to work in the United States and must not require employment visa sponsorship now or at any time in the future.

At SS8 Networks, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from an SS8 office on select days, as determined by the business needs of the team.

SS8 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, protected veteran status, or any other status protected by applicable law.