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Senior Engineer, AI (Remote - US)

Senior Engineer, AI (Remote - US)

JobgetherUS
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer, AI in United States.

As a Senior AI Engineer, you will design, develop, and deploy advanced artificial intelligence solutions that transform business operations and drive meaningful impact across multiple domains. You will collaborate with cross-functional teams to implement AI models, optimize algorithms, and enhance existing systems, ensuring solutions are scalable, reliable, and efficient. This role combines deep technical expertise with creativity and problem-solving, providing opportunities to work on innovative AI projects while shaping the future of technology-driven solutions. You will be part of a supportive and high-performing team that values experimentation, continuous learning, and measurable outcomes.

Accountabilities :

  • Design, develop, and implement AI models and machine learning algorithms to solve complex business problems.
  • Collaborate with engineering, data science, and product teams to integrate AI solutions into production systems.
  • Optimize model performance, scalability, and accuracy, while ensuring alignment with business objectives.
  • Conduct research and evaluate emerging AI technologies and techniques to enhance existing systems.
  • Build and maintain clear documentation of AI workflows, model designs, and technical specifications.
  • Mentor junior engineers and contribute to the team’s knowledge-sharing and skill development.
  • Monitor and troubleshoot deployed models, continuously improving performance and reliability.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in AI, machine learning, or data science engineering roles.
  • Strong programming skills in Python, R, or similar languages, with experience in AI frameworks such as TensorFlow or PyTorch.
  • Experience in developing, deploying, and optimizing AI / ML models in production environments.
  • Solid understanding of statistics, data structures, and algorithm design.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing is a plus.
  • Excellent problem-solving skills, critical thinking, and ability to communicate complex technical concepts to non-technical stakeholders.
  • Ability to work in a collaborative, fast-paced environment with multiple priorities.
  • Benefits

  • Competitive salary with performance-based incentives.
  • Comprehensive healthcare coverage including medical, dental, and vision plans.
  • Flexible work arrangements and remote work options.
  • Professional development support including training, certifications, and mentorship opportunities.
  • Paid time off, holidays, and wellness programs to support work-life balance.
  • Retirement plans and employee stock options.
  • Collaborative, inclusive, and innovation-focused work environment.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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