Senior AI Engineer
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Senior AI Engineer
180,000–200,000 / Year
Location
US
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in United States.
This role offers the opportunity to build advanced AI-powered systems that drive automation, intelligence, and business transformation.
You will join a high-impact engineering team focused on designing scalable AI solutions and integrating emerging technologies into real-world applications.
The position combines hands-on development, architecture leadership, and strategic AI innovation.
You will work with modern AI frameworks, large language models, intelligent agents, and cloud technologies to solve complex challenges.
Collaborating with technical and business leaders, you will help define the future direction of AI initiatives.
This remote opportunity is ideal for an experienced engineer who is passionate about pushing the boundaries of AI while delivering practical, scalable solutions.
### Accountabilities:
The Senior AI Engineer will lead the design, development, and deployment of AI-driven solutions while contributing to the organization’s long-term AI strategy. This role requires strong technical ownership, innovation, and collaboration across engineering and business teams. Key responsibilities include:
- Collaborate with technical leadership and development teams to design and deploy scalable AI and machine learning architectures.
- Develop, train, maintain, and optimize AI models, data pipelines, integrations, and AI-powered services.
- Build and prototype applications using large language models, intelligent agents, automation workflows, and AI orchestration frameworks.
- Experiment with emerging AI technologies including LLMs, embeddings, vector databases, and advanced AI development tools.
- Define AI architecture standards, governance practices, and best practices for reliable AI implementation.
- Translate business objectives into actionable AI engineering initiatives and technical solutions.
- Design highly available, scalable systems deployed across cloud environments such as Azure, AWS, or GCP.
- Create technical documentation, architecture diagrams, and deployment guidelines to support future scaling.
- Participate in code reviews, mentor developers, and promote engineering excellence and innovation.
- Stay current with evolving AI frameworks, APIs, and industry trends to identify opportunities for improvement.
## Requirements:
The ideal candidate is an experienced software engineer with deep expertise in artificial intelligence, machine learning systems, and modern software architecture. This role requires technical depth, strategic thinking, and the ability to deliver innovative solutions in a fast-moving environment. Required qualifications include:
- 10+ years of professional software development experience.
- 3+ years of experience building or designing AI and machine learning systems.
- Strong programming skills in Python, C#, or similar languages.
- Hands-on experience with large language models, embeddings, vector databases, and prompt orchestration.
- Experience with AI and ML frameworks such as OpenAI, Anthropic, Hugging Face, LangChain, Semantic Kernel, or similar technologies.
- Experience developing and integrating APIs, data pipelines, and AI inference services.
- Knowledge of cloud platforms and scalable application architecture.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Ability to combine hands-on engineering with high-level system design and strategic planning.
- Curiosity and commitment to staying current with emerging AI technologies and development practices.
- Authorization to work in the United States and current residence within the country.
## Benefits:
The role offers competitive compensation and a comprehensive benefits package within a remote-first environment focused on growth and collaboration. Benefits include:
- Competitive salary range of $180,000–$200,000 USD annually.
- Remote work flexibility.
- Comprehensive health, vision, dental, disability, and life insurance coverage.
- Employee group savings program.
- Mental health support and Employee Assistance Program.
- Ongoing training and professional development opportunities.
- Long-term career growth opportunities within a growing organization.
- Opportunity to collaborate with experienced technology professionals and leaders.
- Supportive team culture focused on integrity, respect, innovation, and continuous improvement.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Key Responsibilities
- Design and deploy scalable AI and machine learning architectures.
- Develop, train, maintain, and optimize AI models, data pipelines, and AI-powered services.
- Build and prototype applications using large language models, intelligent agents, and automation workflows.
- Experiment with emerging AI technologies including LLMs, embeddings, and vector databases.
- Define AI architecture standards, governance practices, and best practices.
- Translate business objectives into actionable AI engineering initiatives.
- Design highly available, scalable systems deployed across cloud environments.
- Create technical documentation, architecture diagrams, and deployment guidelines.
- Participate in code reviews, mentor developers, and promote engineering excellence.
- Stay current with evolving AI frameworks, APIs, and industry trends.
Skills Required
PythonC#Artificial IntelligenceMachine LearningLarge Language ModelsEmbeddingsVector DatabasesPrompt OrchestrationOpenAIAnthropicHugging FaceLangChainSemantic KernelAPI DevelopmentData PipelinesCloud PlatformsAzureAWSGCPAnalytical skillsProblem solvingCommunicationCollaborationStrategic thinkingCuriosity
Benefits
- Competitive salary
- Remote work flexibility
- Health insurance
- Vision insurance
- Dental insurance
- Disability insurance
- Life insurance
- Employee group savings program
- Mental health support
- Employee Assistance Program
- Ongoing training and professional development
- Career growth opportunities
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