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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - **Company:** The Standard - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Cursor (Graphical User Interface Elements), DevOps, Distributed Systems, Fault Tolerance, Python (Programming Language), Performance Tuning, Search Technologies, Software Engineering, Systems Integration, Rust (Programming Language), Data Ingestion, Large Language Models, Multi-Agent Systems, Caching, Backend, Event Driven Architecture, Low Latency, Free and Open-Source Software, Data Management, Front End Software Development, Data Pipelines, Programming Languages, Microservices - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=43c1e24f52250ceb ## About the Role * 10+ years of professional software engineering experience, including technical leadership in complex, high-scale systems. * Proven experience architecting and shipping distributed systems with meaningful AI, automation, or intelligent decisioning components. * Hands-on experience with LLMs, embeddings, vector databases, RAG pipelines, agent frameworks, or model integration patterns. * Strong system design skills across APIs, data modeling, event-driven architectures, caching, storage, and performance optimization. * Comfort working across the stack, including backend services and collaboration on user-facing or API-layer design. * Proficiency in at least one modern programming language (Go, Rust, Python, Java, or C++). * Experience mentoring senior engineers and driving engineering best practices. * Familiarity with AI-assisted development workflows and modern DevOps/tooling. Nice to Have * Experience operationalizing ML or LLM workloads in production at scale. * Background in microservices, event-driven systems, or real-time data pipelines. * Exposure to frontend frameworks or strong product intuition around AI UX. * Experience with high-throughput, low-latency, or mission-critical systems. * Open-source contributions or demonstrated technical leadership in distributed systems or AI tooling. ## Description We're looking for a Principal Software Engineer, Full-Stack AI to own the end-to-end technical vision for how intelligence is designed, built, and experienced across our platform - from data ingestion and model reasoning to APIs, user interfaces, and real-world operational impact. This is a deeply hands-on role for a senior technical leader who thrives at the intersection of AI systems, distributed infrastructure, and product-grade software engineering. You will architect and ship production AI systems, build scalable backend and data platforms, and work across the stack to ensure AI capabilities are observable, trustworthy, and intuitive for enterprise users. You'll help us define what "applied, full-stack AI" means at Standard Template Labs: designing reasoning pipelines, operationalizing LLMs and agents, shaping human-in-the-loop experiences, and building the platform primitives that allow intelligence to be embedded - not bolted on - across every workflow. You'll mentor senior engineers, influence product direction, and help establish an engineering culture where AI, systems design, and user experience are tightly integrated., AI-Native Architecture & Technical Strategy * Architect the core intelligence layer of the platform, spanning data ingestion, embeddings, retrieval, graph reasoning, agents, and real-time inference. * Define how LLMs and predictive models integrate across backend services, APIs, and user-facing experiences. * Identify high-impact opportunities where generative, predictive, or autonomous AI can eliminate operational toil, improve system understanding, or enhance decision-making. * Lead architectural decisions around model selection, evaluation, fine-tuning, and inference infrastructure (custom vs OSS vs managed APIs). * Establish best practices for AI-first engineering, including prompt and schema design, context assembly, evaluators, guardrails, observability, and continuous model monitoring. * Partner with product and leadership to align AI capabilities with customer outcomes, trust requirements, and long-term platform strategy., * Build end-to-end AI-powered features - from backend reasoning services to APIs and user-facing workflows. * Design and implement production-grade LLM and agent workflows, including automated enrichment, anomaly explanation, topology discovery, change impact analysis, and natural language querying. * Develop scalable backend systems for high-throughput inference, embedding generation, vector search, and graph traversal. * Collaborate on or directly contribute to frontend experiences that make AI outputs understandable, actionable, and debuggable for users (e.g., explanations, confidence signals, provenance, and feedback loops). * Implement retrieval-augmented generation (RAG) pipelines and hybrid search systems that combine structured data, graphs, and unstructured context. * Write clean, well-structured, production-quality code-and champion AI-assisted development tools (Claude, Cursor, Windsurf, etc.) to improve velocity and correctness. * Continuously evaluate emerging AI frameworks, agent runtimes, orchestration tools, and model APIs, integrating them where they drive real user value., * Design data models and pipelines that support learning, reasoning, and traceability across the platform. * Build and evolve distributed systems that are observable, fault-tolerant, and cost-efficient under AI workloads. * Partner with infrastructure and DevOps teams to shape deployment, scaling, monitoring, and rollback strategies for AI-driven services. * Ensure AI systems meet enterprise requirements for reliability, security, explainability, and compliance., * Mentor engineers on full-stack AI patterns, system design for AI workloads, and practical approaches to shipping intelligent features. * Lead architecture reviews and technical deep-dives focused on reliability, safety, performance, and user trust. * Influence engineering standards and culture, emphasizing craftsmanship, clarity, and ownership across the stack. * Help attract and develop top-tier engineering talent excited about AI-native, product-driven systems. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Are Software Engineer Wages Being Pushed Down? 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