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Staff AI - ML Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff AI - ML Engineer in the United States.. This role offers the opportunity to design and build next-generation AI-powered services that power intelligent automation, data processing, and advanced decision-making across a large-scale platform. You will join a team at the forefront of applying AI and ML technologies to real-world challenges, working on Retrieval-Augmented Generation (RAG), AI agents, and large language model (LLM) solutions. Collaboration with product, engineering, and business leaders will be central to your work, ensuring that solutions are both technically sound and aligned with business impact. If you’re passionate about innovation, scaling AI systems, and driving measurable value, this position offers a dynamic environment where your expertise can make a lasting difference.. . Accountabilities. ·         Design, develop, and deploy AI/ML solutions to support core engineering initiatives.. ·         Build and optimize RAG (Retrieval-Augmented Generation) systems to strengthen knowledge management and customer service.. ·         Develop AI agents using frameworks such as LangChain, AutoGen, or CrewAI to automate complex workflows.. ·         Create and refine prompts for AI models to improve performance, accuracy, and adaptability.. ·         Train, fine-tune, and deploy ML models—including LLMs—for real-world production use cases.. ·         Collaborate with product managers, engineers, and business stakeholders to define AI features and deliver projects on time.. ·         Contribute to AI/ML standards, evaluate emerging technologies, and support engineering excellence through mentoring and code reviews.. ·         Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field.. ·         8+ years of professional software development experience, with 4+ years focused on AI/ML.. ·         Proven experience delivering AI/ML solutions across enterprise-scale systems.. ·         Strong hands-on expertise with RAG systems, AI agents, and prompt engineering.. ·         Proficiency with open-source LLMs (LLaMA, Mistral, Falcon) and fine-tuning methods such as LoRA, QLoRA, or PEFT.. ·         Advanced coding skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, and Hugging Face.. ·         Skilled in deploying ML models at scale with microservices and MLOps best practices.. ·         Solid knowledge of SQL, NoSQL, and vector databases for embedding and retrieval tasks.. ·         Experience with AWS or GCP services like SageMaker, Bedrock, or Vertex AI.. ·         Strong communication, collaboration, and problem-solving abilities, with the ability to guide teams across geographies.. Company Location: United States.