AI/ML Engineer Needed to Build AI SaaS Platform
Buget: $30.0 - $50.0
HOURLY / PART_TIME
⭐ 4.99 (271)
United States
deep-learning, artificial-intelligence, machine-learning, python, docker
We are building an AI-powered SaaS platform and are looking for a senior AI/ML Engineer to architect and develop the AI layer from the ground up. This is a long-term hourly opportunity starting with a defined Phase 1 scope, with additional platform development planned for future phases.
Platform Vision:
• Multi-tenant SaaS architecture with AI capabilities built into the platform
• LLM-powered core functionality with Retrieval-Augmented Generation (RAG) pipelines
• AI agents for multi-step workflows and intelligent user interactions
• Scalable cloud infrastructure on AWS or GCP with containerized deployments
• Subscription billing, user authentication, and client-level analytics dashboard
Phase 1 Scope:
• Design and implement a RAG pipeline, including data ingestion, chunking, embeddings, and vector retrieval
• Integrate modern LLMs such as GPT-4o or Claude with effective prompt engineering and conversation memory
• Build an AI agent layer using LangChain or LangGraph for workflow automation
• Develop a clean, scalable multi-tenant backend using FastAPI
• Deploy the platform using Docker and Kubernetes on AWS or GCP
• Create a basic analytics dashboard for platform usage, performance, and client-level insights
Required Skills:
• Proven experience building and deploying production AI applications or AI-powered SaaS platforms
• Strong Python development skills
• Experience with LangChain, LangGraph, RAG pipelines, and LLM integration
• Experience designing scalable multi-tenant architectures
• Knowledge of cloud deployment, security, and application scalability
• Experience with vector databases such as Pinecone, Weaviate, or pgvector
• Experience with Docker, Kubernetes, AWS, or GCP
• Ability to collaborate effectively on a long-term project and deliver high-quality work
Preferred Qualifications:
• Experience optimizing RAG accuracy, retrieval quality, and AI application performance
• Familiarity with production monitoring, logging, and AI system evaluation
• Experience designing secure and scalable SaaS architectures
Please include relevant experience with similar AI projects, technologies, and production systems in your proposal.
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