> Markdown version of [/jobs/ext/3860385-software-engineer](https://www.wearedevelopers.com/jobs/ext/3860385-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** AI Powered LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, Identity and Access Management, Information Extraction, PostgreSQL, Oracle (Applications), Site Reliability Engineering Practices, Next.js, SAP (Applications), Software Engineering, Systems Integration, Data Processing, Retrieval-Augmented Generation, Caching, Backend, Rate Limiting, Kubernetes, Web3.js, Machine Learning Operations, Virtual Agents, Data Pipelines, Serverless Computing, Web Api - **Published:** October 22, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-staff-software-engineer-platform/11799905 ## About the Role * Experience designing reliable data processing with transactional guarantees (ACID semantics, exactly-once processing) and idempotent APIs. * Background with NLP/ML pipelines extracting data from unstructured supplier documents and emails, including OCR and information extraction. * Domain knowledge of manufacturing supply chain, procurement, and logistics workflows. * Strong computer science fundamentals. * Experience integrating with ERP systems (SAP, Oracle) and freight/carrier APIs, including legacy or poorly documented interfaces. ## Description Design and scale backend services, data pipelines, event-driven systems, and integrations supporting autonomous manufacturing operations. Build LLM agents and RAG workflows for supplier document analysis, manage PostgreSQL data models, integrate ERP and freight APIs, implement caching and rate limiting, and establish observability and incident response practices. The role requires transactional processing expertise, NLP/ML pipeline experience, and manufacturing supply chain domain knowledge., The build: Our client is building the software backbone that powers autonomous manufacturing operations. As a Senior/Staff engineer on the Platform team, you'll design scalable backend services, data pipelines, and integrations that coordinate AI-powered agents and high-stakes transactions across complex supply chain workflows. This role is critical to reliably moving physical goods through manufacturing systems - where a broken pipeline means stalled production lines. What you'll do * Design and scale backend services using Next.js API routes, background jobs, and serverless functions to handle high-throughput order processing. * Build and productionize LLM-based agents, AI/ML infrastructure, and RAG patterns for intelligent quote analysis and supplier recommendations. * Own the data layer - PostgreSQL schemas, migrations, and complex queries for materials, quotes, orders, and supplier relationships. * Architect event-driven systems with reliable pipelines for order state management, notification triggers, and cross-system synchronization. * Implement caching and rate limiting strategies to keep external API calls reliable at scale. * Establish monitoring, alerting, and observability patterns while owning incident response for backend systems., Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams., Own the multi-year technical strategy and architecture for Coinbase's enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority. Top Skills: AWSDistributed SystemsGenerative AiGoIamOauth 2.0OidcSAMLScimWorkload Identity Federation Harness