Senior AI Engineer (Remote - US)

This position is posted by Jobgether on behalf of Catalant Technologies. We are currently looking for a Senior AI Engineer in United States.

As a Senior AI Engineer, you will play a key role in developing and deploying AI-powered solutions that enhance platform capabilities, streamline workflows, and deliver measurable impact for clients and users. You will lead the design and implementation of advanced AI systems, integrating cutting-edge approaches like RAG and agentic models to drive performance and usability. Working cross-functionally with product, design, and data teams, you will own projects end-to-end while ensuring scalability and reliability. This role offers the opportunity to influence technical direction, mentor peers, and contribute directly to the growth and success of a fast-moving environment.

Accountabilities:

·         Lead the development and deployment of enterprise-grade AI features that optimize platform functionality and internal workflows.

·         Design and maintain generative AI systems using advanced techniques such as RAG, agents, and other context-driven models.

·         Partner with data engineering to evolve AI-focused infrastructure, integrating diverse data sources into scalable pipelines and warehouses.

·         Take technical ownership of projects, from planning through execution, ensuring accuracy, performance, and scalability.

·         Collaborate with cross-functional stakeholders to gather requirements and deliver solutions aligned with business goals.

·         Contribute to a culture of innovation, continuously improving processes, and staying ahead of emerging AI trends.

Requirements

·         8+ years of professional software engineering experience, including 4+ years specializing in generative AI and machine learning systems.

·         Proven experience deploying AI solutions in production environments, integrating LLM APIs into real-time applications.

·         Strong Python expertise and familiarity with genAI frameworks such as LangGraph, LlamaIndex, or similar.

·         Hands-on experience with common genAI design patterns (RAG, agents, model fine-tuning, evaluation pipelines).

·         Solid understanding of ML fundamentals, data science concepts, and enterprise AI lifecycle management.

·         Experience with relational and vector databases (MySQL, Databricks a plus) and MLOps practices.

·         Ability to work independently while effectively collaborating with leadership, engineering, product, and design teams.

·         Strong communication, problem-solving, and mentoring skills, with a proactive and impact-driven mindset.

Benefits

·         Flexible paid time off, 13 company holidays, plus a full week off during the holiday season.

·         12 weeks of fully paid parental leave for all paths to parenthood.

·         Comprehensive health insurance with optional vision and dental coverage.

·         401(k) retirement savings plan, commuter benefits, and flexible spending accounts.

·         Lifestyle spending account for internet, commuting, or learning & development.

·         Wellness stipend to support mental, emotional, and physical wellbeing.

·         Work-from-home stipend and a flexible hybrid or fully remote work model.

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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