Senior Python Engineer / AI Engineer (EST time zone) to $5000

Job description
About PRAI

PRAI is redefining how the world interacts with artificial intelligence. From fully autonomous content platforms to AI-driven media ecosystems, we build intelligent systems that power the future. Our mission is bold β€” to turn state-of-the-art AI into real-world products that impact millions.

We are assembling a team of elite engineers and visionaries who live at the intersection of open-source innovation, deep tech, and radical impact. If you're obsessed with Python, deeply knowledgeable in cutting-edge AI models, and ready to change the world β€” this is your call.

Job Summary

We’re hiring a Python-native AI Engineer with a deep understanding of the latest AI architectures and open-source models across text, vision, image generation, and video. In this hybrid role, you'll be leading the integration and optimization of frontier AI models, working across LLMs, diffusion, and multimodal systems.

You must have your finger on the pulse of emerging AI systems, and be confident building high-performance pipelines that power intelligent agents, products, and platforms.

Key Responsibilities

● Integrate and fine-tune large-scale models (LLMs, visual detection, image/video generation, multimodal)
● Build advanced Python-based pipelines for model deployment, fine-tuning, and orchestration
● Implement and optimize state-of-the-art architectures: Transformer variants, Diffusion models, MoEs, RAGs, agents
● Build and scale multi-modal systems that combine text, image, audio, and video
● Stay ahead of the curve by continuously testing and implementing cutting-edge models from sources like HuggingFace, OpenAI, Stability AI, Google DeepMind, and more
● Work closely with full-stack teams to deliver production-ready APIs and AI services
● Evaluate model performance and provide architectural recommendations
Minimum Qualifications

● 4+ years professional experience in AI/ML
● Expert-level proficiency in Python, PyTorch, HuggingFace Transformers, LangChain
● Demonstrated experience with latest model architectures: LLaMA 2/3, Mistral, Falcon, Claude, Sora, Stable Diffusion, DALLΒ·E, etc.
● Strong understanding of vector databases (FAISS, Pinecone, Weaviate), RAG architecture, and embeddings
● Experience building inference systems and optimizing model latency
● Familiarity with RESTful APIs, containerization (Docker), and deployment tools
● Passion for open-source and rapid prototyping in a startup environment
 

Published 8 May
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