As a Forward Deployed Engineer, you'll build AI-powered solutions in collaboration with business users, focusing on full-stack development and cloud engineering.
Academic Content Developer - AI Engineer / RAG and Agents
π Description
- Build RAG systems (dense, sparse, hybrid retrieval) over real data.
- Develop retrieval evaluation frameworks to measure hallucination risk.
- Ship AI agents with observability and human-in-the-loop controls.
- Collaborate with industry experts to ensure practical education.
π οΈ Requirements
- Masterβs degree in a related technology field.
- 5+ years in production software, 2+ in production AI/ML.
- Hands-on experience building RAG systems (dense, sparse, hybrid retrieval) over real data.
- Experience building retrieval eval frameworks that measure hallucination risk.
- Track record shipping AI agents with observability and human-in-the-loop controls.
- Proficient with Python, LangGraph, ChromaDB, Neo4j, RAGAS, DeepEval, Docker.
- Strong technical writing and documentation skills.
- Professional written English proficiency (test score, education in English, or work experience mainly in English).
- Create educational content for the Master in AI Systems Engineering.
β¨ Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.
Full job description
Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.
Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations.
We're looking for a content developer for its Master in AI Systems Engineering.
Requirements
- Masterβs degree in a related technology field.
- 5+ years in production software, 2+ in production AI/ML.
- Hands-on experience building RAG systems (dense, sparse, hybrid retrieval) over real data.
- Experience building retrieval eval frameworks that measure hallucination risk.
- Track record shipping AI agents with observability and human-in-the-loop controls.
- Proficient with Python, LangGraph, ChromaDB, Neo4j, RAGAS, DeepEval, Docker.
- Strong technical writing and documentation skills.
- Professional written English proficiency (test score, education in English, or work experience mainly in English).
Benefits
- Remote work modality (home office).
- Joining a dynamic and growing organization with international reach.
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