Job Title

Join a top-tier U.S.-based organization as a Generative AI Engineer (Python) and play a pivotal role in shaping LLM-driven solutions. You’ll be part of a global team tackling complex problems and building next-generation AI systems that drive real business value.Key Responsibilities:Design and implement LLM-powered applications using Langchain and RAG (Retrieval-Augmented Generation) frameworks.Leverage prompt engineering and agent-based models to build intelligent, responsive systems.Collaborate with fellow engineers to define and execute the technical roadmap for AI initiatives.Convert business challenges into scalable and deployable AI solutions.Work closely with domain experts and data teams to ensure model alignment with practical use cases.Take part in architecture planning, code reviews, and performance enhancements.Required Skills & Experience:Advanced proficiency in Python, especially for developing robust AI/ML solutions.Hands-on experience with Langchain, RAG pipelines, and LLM customization.Deep understanding of embeddings, prompt workflows, and vector search databases.Proficient in SQL and familiar with cloud ecosystems such as AWS, GCP, or Azure.Self-starter with a strong ability to collaborate in distributed remote teams.Must have at least 5 hours of workday overlap with PST/PT.Preferred Qualifications:Minimum 1 year of experience in GenAI or LLM development.Overall experience of 7–12 years in software development or ML engineering.Prior work on end-to-end AI product deployment, MLOps, or production-grade ML systems.Experience working on cross-functional teams or directly with external stakeholders.Perks:Collaborate with world-class experts on groundbreaking AI solutions.Fully remote opportunity with high autonomy and impact.Compensation benchmarked against global standards.Be part of transformative projects redefining the future of intelligent systems.Note: A coding or case-based LLM assessment may be required for shortlisted candidates.