> Markdown version of [/jobs/ext/4618409-senior-engineer-agentic-infrastructure](https://www.wearedevelopers.com/jobs/ext/4618409-senior-engineer-agentic-infrastructure). 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). --- # Senior Engineer, Agentic Infrastructure - **Company:** Merciv, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Fault Tolerance, Python (Programming Language), NoSQL, SQL Databases, Data Processing, Data Ingestion, Retrieval-Augmented Generation, Reliability of Systems, Backend, Agentic-AI, Build Management, Kubernetes, Video Streaming, Stream Processing, Data Pipelines, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_f8221a511ef35b69977c1b6ae3b2d401 ## About the Role * 5+ years of professional backend engineering experience, with meaningful time spent building systems at enterprise scale * Deep proficiency in Go and/or Python, with strong fundamentals in distributed systems and microservices architecture * Experience with both SQL and NoSQL databases; comfortable with data processing at scale * Experience with Kubernetes and container orchestration * Strong understanding of system design principles (you can architect solutions that balance performance, scalability, and maintainability) * Passionate about clean, well-tested, maintainable code * You thrive in fast-paced environments and are energized by hard, ambiguous problems, * Experience with graph and/or vector databases * Familiarity with RAG architectures and the broader GenAI landscape * Experience with real-time data processing and streaming technologies * Understanding of ML/AI concepts, particularly in forecasting and NLP ## Description As a Senior Backend Engineer, you'll design and build the core systems that power Merciv's agentic infrastructure. You'll architect services that process massive volumes of enterprise data in real-time, build the pipelines that feed our AI engines, and ensure our platform scales reliably for Fortune 500 clients who depend on it daily. This is a DRI (Directly Responsible Individual) role. You'll own major platform features from architecture to deployment, working closely with ML engineers, product, and our enterprise customers. What You'll Do * Design, build, and scale backend services using Go and Python that power autonomous retail intelligence for enterprise clients * Architect data ingestion and processing pipelines that handle millions of data points across internal and external sources * Build and maintain APIs that serve our agentic AI platform, supporting real-time decision-making at enterprise scale * Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows * Own system reliability (design for fault tolerance, observability, and performance under high-throughput conditions) * Contribute to architectural decisions that shape the long-term trajectory of our platform * Mentor junior engineers and establish backend engineering best practices as we scale