Senior AI Engineer - Production LLMs, RAG & Automation

The Functionary; United States; Remote; USD 160,000 - 230,000; Full time

Job summary

The Functionary seeks an experienced AI software engineer to design, build and operate production AI features, including RAG pipelines, LLM-driven recommendations, and conversational agents. You will contribute to the shared AI platform layer, evaluation, and observability, aligning GenAI features with personalization signals.

Ideal candidates have 7+ years in software, 3+ years in AI engineering, and strong Python proficiency, with hands-on experience in AI SDLC tools and full-stack

Qualifications

• Bachelor’s degree in CS or equivalent experience.
• 7+ years of professional software development experience.
• 3+ years of professional AI engineering experience.
• Python proficiency; comfortable building/operating production LLM apps.
• Hands-on with RAG, retrieval systems, LangChain or similar.
• Understanding prompt engineering and context window management.
• Familiarity with vector databases and semantic search.
• AI-driven SDLC with tools like Claude Code, Copilot or Cursor.
• Familiarity with .NET/C#, Go, Python, Java, React, MS SQL Server, Azure or AWS.
• Full-stack awareness; ownership end-to-end features.

Responsibilities

• Design, build, and operate production AI features: RAG pipelines, LLM-driven recommendations, conversational agents, or agentic workflow automation.
• Build the shared AI platform layer: retrieval infrastructure, eval frameworks, model monitoring, guardrails, and observability.
• Write LLM applications and integrations with marketing platforms, BI tools, or customer-facing product surfaces.
• Evaluate model and feature quality using structured eval frameworks; iterate on prompts, retrieval strategies, and model selection using data.
• Use AI-driven SDLC tooling such as Claude Code as a daily practice for both AI and non-AI code.
• Coordinate with the Personalization team to align GenAI product features with existing ML personalization signals.
• Document AI system design decisions, evaluation results, and operational lessons in the shared knowledge base.

Skills

Python

AI engineering

RAG & retrieval systems

LLM evaluation

Agentic frameworks

Prompt engineering

Vector databases

CI/CD

Education

Bachelor’s degree in Computer Science

Tools

LangChain

LlamaIndex

Claude Code

GitHub Copilot

Cursor

Job description

The Functionary seeks an experienced AI software engineer to design, build and operate production AI features, including RAG pipelines, LLM-driven recommendations, and conversational agents. You will contribute to the shared AI platform layer, evaluation, and observability, aligning GenAI features with personalization signals.

Ideal candidates have 7+ years in software, 3+ years in AI engineering, and strong Python proficiency, with hands-on experience in AI SDLC tools and full-stack