Senior Software Engineer - Tools and Applications

NEURAL SOLUTIONS LLC
Columbia, MD, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$204,000.0 - $247,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Continuous Integration Design of User Interfaces Python (Programming Language) Octopus Deploy Cloud Services Data Logging System Availability Large Language Models Containerization AI Platforms
+3 more
Kubernetes Free and Open-Source Software Docker

Job description

  • Develop high-quality AI tools and applications for workforce use
  • Ensure high availability, reliability, performance, and security of AI tools
  • Modify FOSS to accommodate customer’s use cases
  • Engage with customers, conducting requirements elicitation and developing solutions
  • Maintain existing customer-facing infrastructure and applications, ensuring reliable services
  • Serve as a technical lead for AI Tools and Applications initiatives, coordinating work across teams
  • Provide coaching, feedback, and support to assigned team members
  • Navigate ambiguity and define solutions for complex requirements
  • Establish new technical policies, standards, and governance frameworks where gaps exist
  • Drive adoption of new technologies and practices across engineering teams
  • Implement monitoring, logging, and observability solutions for AI services
  • Communicate effectively with stakeholders at multiple organizational levels

Requirements

  • Expertise in UI/UX principles
  • Significant experience using LLMs as part of a code solution workflow
  • Ability to learn new technologies quickly
  • Mastery of Python
  • Demonstrate willingness to lead and manage multiple junior developers
  • Familiarity with AWS or other cloud service providers
  • Experience with Kubernetes/Helm
  • Familiarity with Argo CD and/or other CI/CD frameworks
  • Experience supporting production software using SRE best practices
  • Experience with Docker and containerization

Nice to Have:

  • Experience with LLM UI Open-Source software such as OpenWebUI
  • Proficiency with Kubernetes/Helm
  • Proficiency with Argo CD and/or other CI/CD frameworks
  • Familiarity with customer requirements elicitation, community outreach, and integration
  • Experience hosting LLM models

Experience Required: 12 years with Bachelor’s degree in a technical field, or 16 years without degree

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