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 Gen AI 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.
