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# Senior AI Engineer

- **Company:** INVISION STAFFING SOLUTIONS LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Code Review, Databases, Data Integration, Python (Programming Language), Systems Development Life Cycle, Tensorflow, Software Engineering, Systems Integration, Cloud Platform System, System Availability, Large Language Models, IT Architecture, Kubernetes, HuggingFace, Machine Learning Operations, Virtual Agents, Data Pipelines, Programming Languages
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aed4ff37ada74591

## About the Role

Do you have experience in System design for system development?, * 10+ years of professional software development experience required

 * 3+ years of building or designing AI/ML systems is required
 * Proficiency in Python, C#, or similar programming languages
 * Hands-on experience with LLMs, vector databases, embeddings, and prompt orchestration
 * Familiarity with AI/ML frameworks (OpenAI, Anthropic, Hugging Face, LangChain, Semantic Kernel, etc.) and cloud ecosystems
 * Experience developing and integrating data pipelines, APIs, and AI inference service
 * Strong analytical thinking, communication, and collaboration skills
 * Ability to balance hands-on technical work with high-level system design and strategic planning
 * Curiosity and drive to stay ahead of emerging AI tools, frameworks, and trends
 * Must reside and be authorized to work in the USA, * building and designing AI/ML systems: 3 years (Required)

## Description

* Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures
 * Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms
 * Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)
 * Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows
 * Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO
 * Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives
 * Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP)
 * Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions
 * Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering
 * Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance our products and systems


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