LLM Engineer

Job OverviewPranatree LLC is looking for a skilled LLM Engineer specializing in Generative AI to join our team. This role is suitable for candidates with relevant GenAI development experience and a strong foundation in backend engineering. The position is remote and involves working on diverse projects, including both client-facing and internal initiatives focused on developing GenAI use cases such as AI assistants or content generation tools.Key ResponsibilitiesRAG Pipeline Development: Design and develop Retrieval-Augmented Generation (RAG) pipelines for efficient and context-aware information retrieval.Prompt Tuning and Strategy: Implement prompt engineering and fine-tuning techniques to enhance the quality and relevance of AI outputs.API Development: Create, maintain, and optimize backend APIs using FastAPI or similar frameworks to support AI-driven applications.Model Deployment: Deploy and manage large language models (LLMs) such as those from OpenAI or equivalent providers, ensuring production readiness.Cloud Integration: Utilize cloud services (AWS or Azure) for model deployment, scaling, and performance optimization.Validation and Testing: Validate and test GenAI outputs to ensure high-quality performance and reliability.Vector Databases and Caching: Work with vector databases and caching layers to improve data retrieval and reduce latency.Collaboration: Partner with data scientists, engineers, and stakeholders to deliver robust solutions for both internal and client-facing projects.Performance Monitoring: Profile, debug, and optimize large-scale machine learning systems for scalability and system performance.Qualifications and RequirementsExperience:12+ months of relevant GenAI development experience.Overall 2+ years of experience in machine learning engineering.Technical Skills:Programming: Strong proficiency in Python.Frameworks: Experience with FastAPI for backend API development.LLM Expertise: Hands-on experience with large language models, including OpenAI or equivalent.Cloud Platforms: Proficiency in cloud platforms such as AWS or Azure.Production Deployment: Experience in deploying LLM-based products into production environments.Project Experience:Involvement in projects that include GenAI use cases like developing AI assistants or content generation tools.Familiarity with prompt tuning, RAG pipeline creation, and validation of generative outputs.Working with vector databases and caching for optimizing data retrieval.Other Skills:Strong understanding of machine learning system performance, including profiling, debugging, and scalability.Good communication skills for collaborative work and client interactions when needed.Performance ExpectationsDesign and deploy efficient RAG pipelines and GenAI solutions that align with project requirements.Optimize backend systems and APIs for seamless integration with GenAI models.Ensure scalable, reliable, and high-performance solutions.Collaborate effectively with cross-functional teams and stakeholders.Participate in client interviews for external projects if required.

Created: 2026-05-16