AI Engineer
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Role details
Tech stack
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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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