Gen AI Engineer

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 orchestrat