AI​/ML Engineer; Prompt Engineering & LLM Integration San Jose, CA

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, Tensor Flow, 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:
  Lang Chain, Llama Index, 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 .