Jobgether

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! 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. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemote

Location

United States

Posted

10 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role is a hands-on, high-impact engineering position focused on building scalable AI and ML systems that drive automation, intelligence, and data-driven insights. You will work closely with technical and business leaders to design, deploy, and optimize AI architectures, models, and applications, including LLMs, vector databases, and intelligent agents.

  • Collaborate with leadership and the development team to design and deploy scalable AI/ML architectures and solutions.
  • Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms.
  • Experiment with emerging LLMs, embeddings, vector databases, and orchestration frameworks such as LangChain or Semantic Kernel.
  • Lead hands-on prototyping of LLM-based applications, intelligent agents, and automation workflows.
  • Establish AI architecture standards, model governance, and contribute to long-term AI strategy.
  • Design systems for high availability, scalability, and efficient cloud deployment on Azure, AWS, or GCP.
  • Create technical documentation, architecture diagrams, and deployment playbooks while participating in code reviews and mentoring junior developers.

Qualifications

  • 5+ years of professional software development experience.
  • 3+ years of hands-on experience building or designing AI/ML systems.
  • Proficiency in Python, C#, or similar programming languages.
  • Experience with LLMs, vector databases, embeddings, and prompt orchestration.
  • Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel) and cloud platforms (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Ability to develop and integrate data pipelines, APIs, and AI inference services.
  • Strong analytical, communication, and collaboration skills.
  • Capacity to balance hands-on development with high-level system design and strategic planning.
  • Curiosity and proactive engagement with emerging AI tools, frameworks, and trends.
  • Must reside in and be authorized to work in the USA.

Benefits

  • Competitive compensation with a salary range of $120,000–$150,000 USD annually.
  • Comprehensive medical, dental, and vision benefits.
  • Paid vacation and sick days for work-life balance.
  • Flexible work options and straight day shifts with no weekends.
  • Career growth and development opportunities, including tuition reimbursement.
  • Company-provided equipment for remote or in-office work.
  • Participation in company events and celebrations.
  • Collaborative and diverse team environment.

Job Requirements

  • 5+ years of professional software development experience.
  • 3+ years of hands-on experience building or designing AI/ML systems.
  • Proficiency in Python, C#, or similar programming languages.
  • Experience with LLMs, vector databases, embeddings, and prompt orchestration.
  • Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel) and cloud platforms (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Ability to develop and integrate data pipelines, APIs, and AI inference services.
  • Strong analytical, communication, and collaboration skills.
  • Capacity to balance hands-on development with high-level system design and strategic planning.
  • Curiosity and proactive engagement with emerging AI tools, frameworks, and trends.
  • Must reside in and be authorized to work in the USA.

Benefits

  • Competitive compensation with a salary range of $120,000–$150,000 USD annually.
  • Comprehensive medical, dental, and vision benefits.
  • Paid vacation and sick days for work-life balance.
  • Flexible work options and straight day shifts with no weekends.
  • Career growth and development opportunities, including tuition reimbursement.
  • Company-provided equipment for remote or in-office work.
  • Participation in company events and celebrations.
  • Collaborative and diverse team environment.

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