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# Senior Software Engineer, AI & Backend

- **Company:** Nexleaf Analytics
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $142,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Software Engineering, Retrieval-Augmented Generation, Multi-Agent Systems, Backend
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ece0808df7a86c14

## About the Role

Do you have experience in Software engineering?, * Expert-level Python and backend engineering, with a track record of scalable production services.

 * Proven, in-production experience with RAG (retrieval, embeddings, vector stores).
 * Hands-on experience building agentic systems - multi-step, tool-using AI that takes action, not just chat.
 * Strong grasp of the infrastructure to run AI in production reliably at scale (cloud, AWS/GCP).
 * Demonstrated experience evaluating AI systems for accuracy and real-world impact, and iterating on results.

## Description

This role is hands-on. You'll build, deploy, and optimize AI-powered systems - RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, intelligent data processing - and own them end-to-end, from architecture to production reliability to evaluating whether they actually deliver. You'll work closely with product managers, data scientists, and engineers, and report to the Engineering Director., * Architect and ship AI-driven features - RAG pipelines and agentic workflows that take action across systems with human oversight where it matters.

 * Build the backend and infrastructure to run these reliably and at scale, across tens of thousands of IoT devices and low-connectivity environments.
 * Define what "good" looks like for our AI systems - holding them to real accuracy and impact standards, not demo performance.
 * Own large parts of the system end-to-end, from architecture to production reliability.
 * Work closely with product and data science to iterate fast and keep solutions aligned with product vision and real public-health needs., This is a fully remote role, with a preference for candidates based in the time zones from the U.S. Eastern through East Africa (UTC-5 to UTC+3), to align with our primary engineering and product team workflows. Some flexibility in working hours is needed to ensure collaboration across time zones.


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