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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AI (Materia AI) - **Company:** Reuters America LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $110,000.0 - $204,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Distributed Systems, Python (Programming Language), PostgreSQL, Modular Design, Search Technologies, Data Streaming, Large Language Models, Reliability of Systems, Backend, Fastapi, Build Management, AI Platforms, Kubernetes, Deployment Automation, Microservices - **Published:** June 19, 2026 - **Apply:** https://diversityjobs.com/career/14987655/Senior-Software-Engineer-Ai-Materia-Ai-New-York-New-York ## About the Role * Minimum 7+ years building backend systems, APIs, and microservices. * Strong proficiency in Python, FastAPI, PostgreSQL, and AWS cloud services. * Deep understanding of distributed systems, architecture, and data modeling. * Experience with AIdriven systems or agentbased architectures. * Proven ability to deliver productionready, highly reliable systems. * Excellent debugging skills and strong crossfunctional communication. * Comfortable operating in fastpaced, iterative environments. Preferred Skills * Curiosity and enthusiasm for integrating AI technologies into real applications. * Familiarity with embeddings, vector search, or RAG retrieval patterns. * Strong opinions on testing, automation, and operational robustness. * Experience with modern LLM APIs or orchestration frameworks. ## Description As a Senior Software Engineer - AI, you will design, implement, and optimize backend services that fuel AInative experiences across our Materiadriven product ecosystem. You'll be responsible for shaping the architecture, scalability, and reliability of systems that coordinate LLM interactions, serve hightraffic APIs, and manage largescale content processing. * Design and build backend services using Python, FastAPI, and PostgreSQL to support realtime AI interactions and largescale data flows. * Shape the architectural foundation of our AI platform by defining service boundaries, system interfaces, and scalable design patterns. * Develop highperformance APIs and microservices that power AI agents, orchestration engines, and content pipelines, ensuring smooth operation under heavy load. * Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, and execution safeguards. * Productionize AI capabilities with robust error handling, guardrails, telemetry, and deep observability for performance and reliability. * Lead core engineering decisions-driving architecture reviews, mentoring teammates, and promoting best practices in testing, resiliency, and maintainability. * Strengthen CI/CD pipelines and DevOps automation to support fast, stable, cloudnative development workflows. * Collaborate closely with ML engineers, product managers, and designers to turn early AI concepts into scalable backend solutions. * Deliver backend systems that transform ambitious AI ideas into productionready experiences used by thousands of professionals. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)