Senior AI Developer (live anywhere)

  • Location: Atlanta, Georgia
  • Type: Direct Hire
  • Job #22485

Senior AI Developer | Build a Production-Ready GenAI Platform | Remote US

Ready to help build an AI platform from the ground up? This is a true greenfield opportunity to design and deliver production-grade, LLM-powered systems that power real operational workflows. No legacy cleanup. No endless POCs. You will take ideas from concept to live production.

This is a brand new, innovation-focused team. You will architect and deploy scalable AI pipelines, shape best practices, and help move solutions from MVP to real-world pilots and beyond.

What You’ll Do

• Design and build LLM-driven workflows for extraction, summarization, classification, reasoning, and automation
• Develop prompting strategies, evaluation frameworks, guardrails, and validation logic
• Build RAG pipelines using embeddings and vector databases
• Fine-tune or adapt models and integrate third-party or hosted LLMs
• Create and maintain production inference services and AI-facing APIs
• Implement preprocessing for structured, unstructured, and OCR-derived data
• Integrate classical ML or computer vision where it enhances LLM workflows
• Deploy models with Docker and integrate into backend systems
• Implement monitoring, logging, observability, and performance optimization
• Optimize latency, throughput, and cloud spend
• Ensure secure, reliable, and scalable AI services in production

What You Bring

• 3+ years of development experience in AI or ML or LLM 
• Ability to architect and build systems end-to-end.
• Strong background with LLMs, prompting, RAG, embeddings, and fine-tuning
• Python development experience and modern AI frameworks (prefer PyTorch, Hugging Face, and LangChain)
• Experience deploying and optimizing inference services in production
• Familiarity with model serving tools such as managed endpoints, vLLM, Ray Serve, or related solutions
• Solid software engineering fundamentals, including testing and CI/CD
• Experience designing evaluation and monitoring for LLM systems
• Cloud experience 
• Comfortable working independently in a lean, fast-moving team

Fully remote within the US. Direct hire. No sponsorship available.

If building real-world AI systems that actually ship sounds like your kind of challenge, let’s talk.

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