Job Title

Join a leading U.S.-based company as a Generative AI Engineer (Python), where you’ll take on a hands-on role in building, deploying, and optimizing LLM-based systems. This is your chance to work on high-impact, cutting-edge AI projects alongside global experts, driving innovation with tangible real-world impact.Key Responsibilities:Design and build LLM-based applications using frameworks such as Langchain and RAG (Retrieval-Augmented Generation).Apply prompt engineering techniques and agent-based frameworks to develop intelligent, adaptive AI systems.Collaborate with engineering teams to define and execute the technical roadmap for GenAI initiatives.Translate complex business requirements into scalable, production-grade AI solutions.Partner with data teams and business SMEs to ensure alignment between models and real-world use cases.Participate in architecture design, code reviews, and performance tuning of AI systems.Required Skills & Experience:Strong proficiency in Python, with a focus on building production-ready AI/ML systems.Practical experience with Langchain, LLM tuning, and RAG pipelines.Solid understanding of embeddings, vector databases, prompt design, and agent workflows.Familiarity with SQL and experience working on cloud platforms (AWS, GCP, or Azure).Demonstrated ability to work independently and collaboratively across cross-functional teams.Clear communication skills with the ability to work in a remote, asynchronous environment.Ability to ensure a minimum 5-hour overlap with PST/PT.Preferred Qualifications:1+ years of hands-on experience working with LLMs and Generative AI techniques.Overall experience of 7–12 years in software engineering, with exposure to AI/ML systems and scalable architectures.Background in machine learning, MLOps, or end-to-end deployment of AI products.Experience contributing to AI/ML product pipelines or cross-functional delivery teams.Prior exposure to client-facing projects or enterprise-scale AI systems.Perks:Collaborate with some of the best minds in the AI/ML space.Work remotely on high-impact projects shaping the future of AI.Competitive compensation aligned with global standards.Opportunity to influence and lead in a fast-evolving tech landscape.Note: Shortlisted candidates may be required to complete a technical coding and/or LLM use-case assessment as part of the hiring process.