About the job
Join our team as a Prompt Engineer and enhance large language model performance across business-critical workflows. Collaborate with AI engineers and product teams to design and integrate intelligent agents that drive enterprise use cases. Your expertise in NLP and AI/ML will be key to our success!
Responsibilities
Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management); Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention; Maintain libraries for reuse and version control; Implement LLM function calling to trigger APIs, databases, or internal tools; Build tool-use pipelines within agent workflows for complex task automation; Define and build agent personas, roles, and behaviors for domain-specific applications; Manage multi-turn conversations, memory handling, and contextual continuity; Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance; Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks; Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines; Maintain documentation and workflows for deployment in production environments
Qualifications
Minimum
3+ years of experience in NLP, AI/ML product development, or application scripting; Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere); Experience crafting prompts and evaluation methods for enterprise tasks; Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen; Strong ML, Python and API integration skills; Excellent written communication and structured thinking
Preferred
Experience with LLM function calling, custom tool integration, and agent workflows; Background in UX writing, human-computer interaction, or instructional design; Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems; Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field