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# Software Engineer

- **Company:** GENAI LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Software Debugging, DevOps, Distributed Systems, Domain Name System (DNS), Github, Python (Programming Language), Machine Learning, Metadata Repositories, Open Source Technology, Software Engineering, Datadog, Delivery Pipeline, Generative AI, Amazon Virtual Private Cloud (VPC), Information Technology, Machine Learning Operations, Restful APIs, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/mts-senior-software-engineer-509976286

## About the Role

* 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems
 * Strong proficiency in Python, including designing, developing, and debugging production-grade services
 * Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements
 * Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals
 * Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions
 * Excellent collaboration and communication skills with a strong sense of ownership and accountability, * BS or MS in Computer Science, Software Engineering, or a related field
 * Open source contributions related to GenAI, distributed systems, or data orchestration
 * Experience with cloud networking (DNS, VPC configuration, infrastructure security)
 * Strong quantitative background (math, physics, ML, or related fields)
 * Experience using GenAI tools to augment development workflows
 * Familiarity with enterprise software development lifecycles from architecture through post-deployment support, Ready to build the foundation of the GenAI revolution? Include GitHub (or equivalent) code samples, a system design you're proud of, and any evaluation or benchmark work that demonstrates your technical rigor.

Candidates must be authorized to work in the United States without current or future sponsorship requirements.

## Description

* Architect and develop high-performance, reliable systems for GenAI model serving, data orchestration, and distributed computing
 * Build and scale infrastructure for embeddings, retrieval systems, data catalogs, and evaluation workflows
 * Design and maintain secure, scalable APIs with a strong emphasis on developer experience
 * Enhance deployment pipelines, observability tooling, and operational best practices to ensure platform resilience
 * Collaborate cross-functionally to evaluate emerging GenAI research, benchmarks, and techniques - bringing the most impactful innovations into production
 * Contribute to platform-level decisions around cluster management, orchestration, and service reliability


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- [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025)
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