Join Jobgether as a Senior AI Engineer to lead the architecture, development, and deployment of AI-driven platforms that enhance our product capabilities and user experiences. You will provide technical leadership, mentor developers, and drive innovation in AI and machine learning to advance the company's strategic goals.

What You'll Do

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, 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.

What We're Looking For

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

Experience with Snowflake, FHIR, or healthcare data.

Technical Stack

Programming: Python
Frameworks: TensorFlow/PyTorch
Platforms: Databricks, Mosaic AI Gateway

Team & Environment

You will work closely with data engineers, software developers, platform teams, and product owners.

Benefits & Compensation

Flexible remote work and global collaboration opportunities.
Exposure to 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.