Editorial summary

The company is seeking a skilled Gen AI Engineer to develop and implement AI solutions focused on human-centered design, primarily serving clients in the public sector, healthcare, and regulated industries. The ideal candidate should have strong hands-on experience with Python, FastAPI, LLM/GenAI application development, RAG, Vector Databases, and Agentic AI. The position offers a salary of 9,000 and involves designing production-ready AI systems that integrate enterprise data, APIs, and knowledge sources.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 27535 first appeared in Job-Q.com on 25 Aug 2026]

Gen AI Engineer

At Aleph, the best solutions start with understanding people deeply. We're a global team of researchers, strategists, designers, and technologists who help organisations, particularly in public sector, healthcare, and regulated industries, make decisions grounded in real human needs.

We are seeking a highly skilled Gen AI Engineer with strong hands-on experience in Python, FastAPI, LLM/GenAI application development, RAG, Vector Databases and Agentic AI. You will design and build production-ready AI solutions that integrate enterprise data, APIs, knowledge sources and web applications.

Key Responsibilities

• Design and develop LLM and Generative AI applications using Python and modern AI frameworks.
• Build scalable REST APIs and backend services using FastAPI.
• Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise documents and structured/unstructured data.
• Design and implement Vector Database solutions for semantic search, embeddings and knowledge retrieval.
• Integrate and orchestrate LLMs, embeddings, APIs and enterprise data sources.
• Develop AI agents and agentic workflows capable of tool calling, reasoning, task orchestration and multi-step execution.
• Build frontend components and AI-enabled user experiences using React.
• Implement prompt engineering, context management, evaluation and guardrails for LLM applications.
• Ensure AI solutions have appropriate logging, monitoring, traceability, security and human-in-the-loop controls.

Prerequisites

• Strong hands-on experience in Python.
• Strong experience building backend APIs and services using FastAPI.
• Hands-on experience developing applications using LLMs and Generative AI.
• Experience implementing RAG architectures, including document ingestion, chunking, embeddings, retrieval and response generation.
• Experience with at least one Vector Database such as Pinecone, Weaviate, Qdrant, Milvus, Chroma or pgvector.
• Experience with Agentic AI / AI agents, including tool calling, workflow orchestration and multi-step agent execution.
• Experience working with OpenAI, Azure OpenAI, Anthropic, Gemini or other LLM APIs.
• Good understanding of prompt engineering, embeddings, semantic search and LLM evaluation.
• Working experience with React or other modern frontend frameworks for integrating AI capabilities into web applications.
• Strong understanding of REST APIs, data integration and structured/unstructured data.
• Good to have ReactJS experience.

Benefits

• Competitive salary (compensation will be based on experience)
• Medical insurance
• A solid team behind you: great people who love what they do
• A culture which promotes learning and knowledge sharing
• Opportunities for personal and professional growth offerings.

Get in touch

Please visit www.aleph-labs.com or drop us an email at .

Aleph is an equal opportunity employer and we work in an engaging, collaborative environment, where ideas are shared freely.

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