Senior AI/ML Engineer
msphere
Job Description
- Design, develop, and deploy production-grade ML models and Generative AI solutions spanning LLMs, RAG, and Multi-modal AI.
- Build and optimize AI agents using frameworks like LangChain, LangGraph, and LangSmith to automate complex business workflows.
- Architect and maintain scalable AI pipelines and RESTful services using FastAPI and Python, implementing MLOps best practices for model versioning, monitoring, and retraining.
- Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and perform parameter-efficient fine-tuning (PEFT/LoRA) on foundational models.
- Conduct advanced statistical analysis and feature engineering on large-scale structured and unstructured datasets.
- Design and optimize data storage solutions across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) environments.
- Apply software design patterns and robust data structures to ensure code is maintainable, repeatable, and efficient.
- Lead code reviews, mentor junior engineers, and advocate for engineering best practices across AI initiatives.