Senior Software Engineer, AI Platform

Senior Software Engineer - AI Platform Location: Remote Salary Range: $140,541- $223,212, per year, depending on experience and qualifications. Employment Type: Full-time What you can expect as a Senior Software Engineer - AI Platform at Fortress: Fortress Information Security is seeking a Senior Software Engineer, AI Platform to help build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments. The ideal candidate brings strong distributed systems and backend engineering experience combined with hands-on experience building production-grade AI infrastructure, orchestration systems, or retrieval platforms. This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress’s AI strategy. This role is well-suited for engineers who enjoy solving complex systems problems involving long-running stateful workflows, multi-store retrieval architectures, event-driven systems, observability, and secure multi-tenant infrastructure. Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.

Responsibilities

Include: Design, build, and operate orchestration frameworks supporting long-running, stateful AI workflows and agent execution systems Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products Implement resilient event-driven and change-data-capture (CDC) pipelines with strong consistency, retry, and fault-tolerance guarantees Develop typed APIs and integration contracts supporting AI workflows and platform interoperability Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure Support secure multi-tenant deployments across cloud, hybrid-cloud, and air-gapped environments Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure Collaborate cross-functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems Minimum Qualifications: 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems Strong Python development experience including asynchronous systems, API design, and typed architectures Experience designing and operating scalable distributed or service-oriented systems in production environments Hands-on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance Active daily use and fluency with AI-assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows. Strong written and verbal communication skills with the ability to collaborate effectively across technical teams Ability to operate independently in fast-moving, highly technical environments with evolving priorities Preferred Qualifications: Experience with orchestration and workflow frameworks such as LangGraph, Temporal, Celery, or similar technologies Experience with vector databases, graph databases, search platforms, and modern retrieval architectures involving embeddings, hybrid search, reranking, or knowledge graph traversal Experience with event-driven architectures, CDC pipelines, or streaming platforms such as Kafka, Pulsar, or pg-boss Experience with observability and telemetry tooling such as OpenTelemetry, Prometheus, Grafana, or centralized logging platforms Experience deploying and operating systems within regulated, high-security, hybrid-cloud, or air-gapped environments Familiarity with secure software supply chain practices, signed artifact distribution, and multi-tenant platform isolation strategies Contributions to internal developer platforms, reusable infrastructure tooling, or shared engineering frameworks Experience mentoring engineers and contributing to engineering standards and architectural best practices Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field preferred. Equivalent combinations of professional experience, technical training, certifications, or demonstrated expertise will also be considered. Who thrives in this Role: This team moves fast, operates with high autonomy, and builds things that don't exist yet. Engineers who do well here are genuinely deep in AI infrastructure, treat AI-assisted development as a core skill they're actively improving, and prefer building over debating. They own their outcomes without being pushed and find constrained, regulated environments interesting rather than frustrating. If you've been building in this space on your own time and want to work somewhere that takes it seriously, this role is for you. This role is not for you if... You're drawn to AI but haven't actually built anything in the space. You treat AI development tools as a novelty rather than a daily practice. You do your best work with clear roadmaps, stable requirements, and plenty of process. You want to architect and delegate rather than write the code yourself. You need direction to get moving. Employee Benefits: Remote and Hybrid working environment Competitive pay structure Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families Company paid life, short- and long-term disability insurance Employee Assistance Program 401(k) match Flexible Paid Time Off Parental Leave Access to thousands of Learning & Development courses that range from mental health and wellbeing, stress, and time management to an array of technical and business-related courses Employment Perks: We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications Tuition and certification reimbursement Employee Referral Programs Company Sponsored Events ​Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires. For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Apply To This Job