Conversational AI Engineer (LLM)

Location: Remote (U.S.)

Salary: $130,000–$180,000 annually, based on experience

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, develop, and deploy enterprise-scale conversational AI applications powered by large language models.
• Define prompt engineering standards, reusable prompt libraries, and enterprise AI development practices.
• Architect agentic AI workflows, multi-agent systems, tool orchestration, and Retrieval-Augmented Generation solutions.
• Build evaluation frameworks for prompt quality, hallucination detection, response accuracy, latency, and user experience.
• Develop reusable SDKs, APIs, and developer tooling for AI application development.
• Implement AI safety, security, compliance, governance, monitoring, and operational scalability practices.

Requirements

• 10+ years of professional software engineering experience, including production LLM-powered applications.
• Bachelor’s or Master’s degree in computer science, artificial intelligence, machine learning, software engineering, or a related field.
• Experience with modern LLM APIs and models, including OpenAI GPT, Anthropic Claude, Google Gemini, Llama, or Mistral.
• Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
• Strong Python skills and experience building scalable backend services and APIs.
• Experience with RAG, vector databases, embeddings, prompt engineering, AI orchestration, evaluation, observability, and enterprise governance.

Nice to have

• Public technical writing, conference presentations, open-source contributions, or LLM thought leadership.
• Experience with multi-agent architectures, autonomous workflows, and complex tool-use systems.
• Familiarity with fine-tuning, LoRA/QLoRA, and model alignment techniques.
• Experience with HIPAA, PCI-DSS, SOC 2, or FedRAMP compliance requirements.
• Experience with Kubernetes, MLOps, CI/CD, cloud platforms, and production AI infrastructure.

Culture & Benefits

• Full-time direct W-2 employment.
• Remote work within the United States.
• Opportunity to collaborate with product managers, AI researchers, software engineers, and business stakeholders.
• Scope to mentor engineers and establish conversational AI engineering standards.
• Career growth within an established technology consulting and software development organization.