This is a remote position.
AI/ML Engineer (Prompt Engineering & LLM Integration)
We’re looking for an AI/ML Engineer with expertise in prompt engineering to design, test, and optimize prompts for large language models (LLMs) and integrate them into real-world AI applications. This role blends technical AI/ML skills with creativity, ensuring outputs are accurate, relevant, and aligned with business needs.
Location: This position is location agnostic within the United States — we welcome applicants from any U.S. location.
Design, refine, and test prompts to improve LLM output quality.
Fine-tune and evaluate models for accuracy, safety, and relevance.
Collaborate with product, data science, and engineering teams to integrate AI solutions.
Apply techniques like few-shot learning, prompt chaining, and retrieval-augmented generation (RAG).
Research and implement the latest AI/ML innovations.
Strong experience in AI/ML, NLP, or LLM development .
Proficiency in Python , with hands-on experience in frameworks such as PyTorch, TensorFlow, Hugging Face .
Knowledge of cloud AI platforms (AWS, Azure, or Google Cloud).
Practical experience with LLM techniques such as fine-tuning, RAG, few-shot learning, and evaluation.
Strong understanding of generative AI concepts and natural language processing .
LLM orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel .
Emerging standards and approaches: Anthropic MCP (Model Context Protocol), Agentic AI engineering .
Cloud-based AI/ML data platforms: Vertex AI, Databricks .
Conversational AI and app builders: Rasa, Voiceflow, Glide, Lovable .
New and experimental tools: Dify, Claude Code, Swarm .
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