AI Engineer

• MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience) • Strong Python skills • Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks) • Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) — we work primarily through Google Vertex AI • Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar) • Cloud platform experience (GCP preferred, especially Vertex AI) • Docker and containerized deployments • Strong software engineering fundamentals — SOLID principles, clean code practices, design patterns, testing, version control (Git), code review • Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) — and critically evaluating what they produce Strongly Preferred • Experience with agentic AI patterns — multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar) • Document processing experience — extracting and parsing data from PDFs and Word/DOCX files programmatically • Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar) • Data science fundamentals — Pandas, NumPy, scikit-learn, statistical analysis, data visualization • Prompt engineering and optimisation techniques • Streamlit application development Nice to Have Domain Knowledge: • Clinical trials or pharmaceutical industry experience • Familiarity with clinical data standards • Awareness of regulatory and data privacy requirements in life sciences Infrastructure & DevOps: • Terraform or infrastructure-as-code experience • CI/CD pipeline design (GitHub Actions or similar) Knowledge Graphs: • Neo4j, Cypher query language • NetworkX for graph analytics • Graph-based RAG or knowledge extraction AI/ML: • Experience with LLM-driven code generation • LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches) • NLP and text processing (HuggingFace Transformers, Sentence-Transformers) • PyTorch or TensorFlow (for custom model work if needed) • Google ADK (Agent Development Kit) or Vertex AI Agent Builder • Model Context Protocol (MCP) for tool integration and interoperability Other: • Frontend experience (React, TypeScript) • FastAPI or Flask REST API development PostgreSQL or similar relational databases