Senior AI Engineer (Remote - US)
This position is posted by Jobgether on behalf of Abacus Insights. We are currently looking for a Senior AI Engineer in the United States.
This role offers the opportunity to lead the architecture, development, and deployment of AI-driven platforms that directly enhance product capabilities and user experiences. You will work closely with data engineers, software developers, platform teams, and product owners to deliver scalable, production-grade AI systems. The ideal candidate provides technical leadership across multiple, distributed teams, mentoring developers and driving innovation in AI and machine learning. This position is central to advancing the company’s AI strategy, building cutting-edge models, and ensuring the engineering organization scales to meet future business needs. The environment is collaborative, fast-paced, and focused on high-impact, mission-driven solutions.
Accountabilities
- Architect, design, and implement AI/ML systems, pipelines, and features to support generative AI, agents, and large language model workflows.
- Lead development of data collection, preprocessing, model training, fine-tuning, and evaluation pipelines for optimal AI performance.
- Collaborate with cross-functional teams, including product, platform, and engineering teams, to deliver impactful AI solutions.
- Build scalable backend systems and infrastructure to support AI-driven products, ensuring reliability, logging, and monitoring.
- Mentor and coach engineering and AI teams, promoting adherence to best practices, coding standards, and software architecture principles.
- Drive critical AI projects, including innovation initiatives, benchmarking, and deployment of advanced AI capabilities.
- Participate in architectural discussions, influence design decisions, and guide strategic initiatives in AI and software development.
- Minimum 3 years of experience in ML/AI engineering within high-growth or high-velocity organizations, or equivalent academic research experience.
- At least 3 years of professional software development experience.
- Strong experience with Databricks, Mosaic AI Gateway, or related data and AI engineering technologies.
- Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI system architecture.
- Hands-on experience with language modeling, generative AI, embedding techniques, agents, RAG, SQL agents, and large-scale AI workflows.
- Strong analytical, problem-solving, and software engineering skills, with familiarity in testing, code reviews, and deployment pipelines.
- Experience designing distributed systems for large-scale data processing (10s–100s of TB).
- Ability to collaborate effectively with product, operations, and client delivery teams while mentoring team members.
- Knowledge of cloud architecture, AI/ML infrastructure, and agentic systems.
- Nice to have: Snowflake, FHIR, or healthcare data experience.
- Flexible remote work and global collaboration opportunities.
- Exposure to cutting-edge AI and machine learning projects with real-world impact.
- Mentorship and professional growth within a high-performing engineering team.
- Competitive salary and performance incentives.
- Comprehensive health, dental, and vision benefits.
- Paid time off, holidays, and professional development resources.
- Inclusive and diverse work environment emphasizing innovation and equal opportunity.
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!
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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...
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