AI / ML Engineer (LLM)

Location: Remote · Global

Company

hirify.global delivers production AI features and intelligent product capabilities for clients.

What you will do

• Design and ship LLM-powered features using OpenAI, Claude, or open-source models with error handling, fallbacks, and cost controls.
• Build RAG pipelines with vector search, document chunking, and relevance tuning for client knowledge bases.
• Implement multi-step AI agents and autonomous workflows integrated with product APIs and business logic.
• Create prompt testing suites, output validation, content moderation, quality metrics, and regression testing for production AI features.
• Instrument AI systems with latency, token cost, and quality tracking, including client-facing dashboards.
• Advise clients on AI feasibility, MVP scope, architecture, trade-offs, and delivery timelines.

Requirements

• Hands-on experience shipping production AI features with OpenAI, Anthropic, or open-source models.
• Experience with RAG and retrieval stacks such as LangChain, LlamaIndex, Pinecone, pgvector, or similar tools.
• Strong Python backend skills with FastAPI or Django, including appropriate async patterns for serving ML workloads.
• Experience building evaluation frameworks for prompt quality, hallucination detection, and regression testing.
• Knowledge of caching, model routing, batching, latency optimization, data privacy, PII handling, and prompt injection risks.
• Ability to explain AI limitations and trade-offs to non-technical clients and own AI workstreams end-to-end.

Nice to have

• Experience delivering copilots, document processing, or intelligent search features for external clients.
• Links to GitHub repositories, research papers, or products demonstrating production AI work.

Culture & Benefits

• Global remote work with an async-friendly team and protected deep-focus time.
• Client-facing work focused on production AI rather than internal demos.
• Learning budget for courses, conferences, and experimentation with evolving AI tools.
• Competitive compensation for engineers delivering production AI systems.

Hiring process

• Submit a résumé in PDF format, LinkedIn profile, and links to relevant AI work.
• Provide a Loom video of up to five minutes answering questions about production AI, RAG architecture, and agentic patterns.
• Apply by email with the subject “AI / ML Engineer” and begin the message with “I ship AI to production.”