Job Description

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.

Key Responsibilities:

• 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.
  

Core Requirements:

• 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 .
  

Preferred / Exposure to:

• 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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