AI Engineer

Harnham Inc.
Austin, TX, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$180,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Mobile Application Development Continuous Integration Programming Tools Django Web Framework Human-Computer Interaction Information Extraction Python (Programming Language) Machine Learning
+18 more
Next.js Search Technologies Software Engineering Feature Store Chatbots ReactJS Retrieval-Augmented Generation Flask (Web Framework) Large Language Models Claude Code Backend Agentic-AI Fastapi Front End Software Development Api Design Restful APIs Data Pipelines Databricks

Job description

I’m hiring a Full Stack AI Engineer to build enterprise-grade applications across GenAI, RAG, AI agents and machine learning.

This is a genuinely end-to-end engineering role, working across frontend, backend, data and AI. You’ll partner with Data Scientists, Data Engineers and Product teams to take AI capabilities from concept through to scalable, production-ready applications.

What you’ll be doing

  • Build full-stack AI applications using React/Next.js and Python
  • Develop and productionize RAG pipelines, AI agents and agentic workflows
  • Build conversational AI, semantic search, document intelligence and automated workflows
  • Develop backend services and RESTful APIs using FastAPI, Flask, Django or similar
  • Integrate applications with Databricks, data pipelines, feature stores and ML model endpoints
  • Own solutions across the full lifecycle, from data pipeline and backend through to the user interface
  • Use modern AI development tools such as Claude Code, Codex and Augment Code
  • Maintain strong engineering standards across testing, CI/CD, security and observability

Requirements

  • 8+ years of software engineering experience
  • Strong full-stack development experience across frontend and backend
  • Strong React/Next.js + Python skills
  • Hands-on experience shipping LLM, RAG or agentic AI solutions into production
  • Experience building APIs and data-intensive applications
  • Databricks/Lakehouse experience is a strong plus
  • AWS or Azure cloud experience
  • Strong product mindset with genuine end-to-end ownership

This is ideal for an experienced Software Engineer who has moved heavily into AI-native development and wants to build real-world AI products rather than research or proof-of-concept work.

If you’re a strong Full Stack Engineer with hands-on production experience across LLMs, RAG and AI agents, I’d love to connect.

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