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Senior AI Engineer (Remote - US) at Jobgether. 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.. ·         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.. Company Location: United States.