Job Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
Position: Senior Staff Software Engineer
Location: Remote
Duration: 4 Months
Job Type: Temporary Assignment
Work Type: Remote
Position Summary
- We are seeking a highly skilled Senior Staff Software Engineer to design, build, and scale next-generation AI platforms and intelligent systems.
- The ideal candidate will possess strong software engineering fundamentals, deep expertise in distributed systems, cloud-native infrastructure, machine learning platforms, and operational excellence.
- This role involves developing production-grade AI applications, shared services, internal platforms, and foundational infrastructure that support large-scale AI workloads across enterprise environments.
Key Responsibilities
- Design, develop, and maintain scalable software systems using C/C++, Python, Go, Rust, Node.js, and other modern programming languages.
- Build advanced AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, vector databases, and multi-agent architectures.
- Research, design, and optimize high-performance AI workloads for CPU, GPU, and heterogeneous computing environments.
- Develop internal platforms, SDKs, shared services, and infrastructure components that accelerate engineering productivity.
- Create rapid prototypes and production-ready solutions while maintaining high standards of software quality and maintainability.
- Design and implement inference serving platforms for deep learning and generative AI applications.
- Establish engineering best practices for testing, debugging, CI/CD, automated deployments, monitoring, observability, incident management, and operational excellence.
- Drive architecture reviews, technical strategy, and platform modernization initiatives.
- Collaborate with data scientists, ML engineers, platform engineers, security teams, and product stakeholders to deliver enterprise-scale AI solutions.
- Manage Kubernetes-based environments including cluster lifecycle management, version upgrades, service mesh administration, GitOps workflows, and Argo-based deployments.
- Implement secure authentication and authorization mechanisms using SSO, OAuth2, OIDC, SCIM, and enterprise identity governance frameworks.
- YOE 5+ years
Additional:
Years of experience/education and/or certifications required:
- 5 Years min and AWS Certification
What are the top 3-5 skills requirements should this person have?
- Strong software engineering background with systems programming experience in languages like C/C++, Python, Go, Node, and Rust, plus solid fundamentals in data structures, algorithms, and concurrency.
- Experience in rapid prototyping with Python, along with knowledge of software engineering principles and foundational computer science.
- Familiarity with AI/ML development, including fine-tuning large language models, multi-agent systems, RAG pipelines, vector databases, and deep learning frameworks like TensorFlow and PyTorch.
- Understanding of advanced compute and infrastructure topics such as GPUs, heterogeneous accelerators like cuda, modern inference serving, shared services, internal platforms, testing, CI/CD and Kubernetes.
- Basic knowledge of identity and access management concepts, including SSO, OAuth/OIDC, SCIM, authentication protocols, access lifecycle management, and identity governance.
What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?
- Master's in computer science, Artificial Intelligence, Machine Learning, Distributed Systems, platform engineering and developer experience (DevEx) or a related field.
TekWissen Group is an equal opportunity employer supporting workforce diversity
Numbers & Facts
| Location | NULL, MI (Remote) |
| Industry | Computer/IT Services |
| Salary | $75–$85 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Skills
- Algorithmsunmatched
- Artificial Intelligence (AI)unmatched
- Authenticationunmatched
- Best Practicesunmatched
- C Programming Languageunmatched
- C++ Programming Languageunmatched
- CPU (Central Processing Unit)unmatched
- CUDA (Compute Unified Device Architecture)unmatched
- Cloud Computingunmatched
- Computer Scienceunmatched
- Computer Systemsunmatched
- Concurrencyunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Data Scienceunmatched
- Data Structuresunmatched
- Debugging Skillsunmatched
- Deep Learningunmatched
- Distributed Computingunmatched
- Diversityunmatched
- GPU (Graphics Processing Unit)unmatched
- Go Programming Language (Golang)unmatched
- Identity Data Managementunmatched
- Incident Managementunmatched
- Machine Learningunmatched
- Modeling Languagesunmatched
- Node.jsunmatched
- OAuthunmatched
- Performance Tuning/Optimizationunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- Quality Assurance Methodologyunmatched
- Rapid Prototypingunmatched
- Rust Programming Languageunmatched
- Scalable System Developmentunmatched
- Single Sign-On (SSO)unmatched
- Software Administrationunmatched
- Software Designunmatched
- Software Engineeringunmatched
- Systems Engineeringunmatched
- Systems Maintenanceunmatched
- Systems Scalabilityunmatched
- Systems/Internals Programmingunmatched
- Technical Strategyunmatched
- Workforce Managementunmatched
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