MeridianLink Logo

MeridianLink

Sr. Software Engineer (AI)

Posted Yesterday
Remote
Hiring Remotely in US
104K-178K Annually
Senior level
Remote
Hiring Remotely in US
104K-178K Annually
Senior level
Leads the implementation of complex software systems and services, influences architecture and modernization, mentors engineers, and supports production reliability. Partners with Product, QA, and DevOps teams to deliver scalable cloud-native applications. The role requires strong full-stack expertise across C#, .NET, React, TypeScript or JavaScript, SQL, APIs, distributed systems, CI/CD, and AI development methodologies, along with the ability to independently lead complex technical initiatives.
The summary above was generated by AI

Senior Software Engineer (AI)

Position Summary

This Senior Software Engineer is a senior technical contributor responsible for delivering scalable, maintainable, and reliable software solutions while helping guide technical implementation across the team. This role combines hands-on engineering with mentorship, technical leadership, and collaboration across product and platform initiatives.

What You'll Do

  • Lead implementation of complex software systems and services

  • Influence architecture and modernization initiatives

  • Mentor engineers through code reviews and technical coaching

  • Support operational excellence and production reliability

  • Partner closely with Product, QA, and DevOps teams

Required Qualifications

  • 5+ years of software engineering experience

  • Deep knowledge of C#, .NET, .NET Core and modern application frameworks

  • Experience with React.js, TypeScript/JavaScript, SQL, and APIs

  • Strong backend and frontend engineering experience

  • Experience with cloud-native application development

  • Experience with AI development tools and methodologies

  • Strong understanding of APIs, distributed systems, and CI/CD

  • Ability to independently lead complex technical initiatives

Why This Role Is Interesting

We value engineers who enjoy building, improving, and simplifying systems. This role provides the opportunity to work across product, platform, and engineering initiatives that directly influence customer experience and business outcomes.

What Success Looks Like

Success in this role is measured through technical contribution, collaboration, engineering quality, operational reliability, and the ability to positively influence team effectiveness and software delivery outcomes.

Similar Jobs

4 Days Ago
Remote or Hybrid
155K-190K Annually
Senior level
155K-190K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Build and operate secure, scalable AI infrastructure and cloud-native platforms across on-premises and cloud environments. Develop AI agents, MCP servers, microservices, automation, and Kubernetes-based workloads. Establish governance, security, observability, and operational standards for AI systems. Monitor infrastructure, troubleshoot production issues, improve processes, document runbooks, and support platform reliability while collaborating with artists, production teams, and engineers.
Top Skills: Amd Inference Microservice Platform (Aims)AWSAzureBashC-ShellCentosDatadogDockerGCPGitJavaJavaScriptKubernetesLinuxModel Context Protocol (Mcp)Nvidia NimOciPrometheusPythonRed HatRetrieval-Augmented Generation (Rag)
15 Days Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.
Top Skills: AWSAzureDockerGCPGithub CopilotHibernate/JpaJava 11+KubernetesLarge Language Models (Llms)MySQLOraclePostgresReactRestful ApisSpring BootSpring Framework
5 Hours Ago
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, build, and maintain infrastructure software for large-scale AI training and inference. Improve efficiency, resiliency, availability, observability, and reliability across distributed AI systems. Develop APIs and tools, analyze failures from application through hardware levels, define reliability metrics, and support NVIDIA AI platforms. The role requires expertise in distributed systems, monitoring, debugging, software engineering practices, and AI infrastructure, with preferred experience in large clusters, RDMA stacks, telemetry, and deep learning frameworks.
Top Skills: CC++Continuous IntegrationElkInfiniband VerbsJaxLibfabricLokiNcclPrometheusPythonPyTorchRayRdmaTensorFlowUcx

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account