Legend Biotech is a global biotechnology company dedicated to treating life-threatening diseases. They are seeking an Associate AI/ML Engineer to join their Data & AI team, where the role involves designing, building, testing, and deploying production-grade Generative AI solutions and traditional machine learning models.
Responsibilities
- Build and iterate on LLM-powered features (e.g., chat, summarization, extraction, classification) using approved model providers and internal platforms
- Design retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt templates
- Develop and evaluate prompts, tools, and agentic workflows; implement guardrails (grounding, citations, refusal behavior) and improve reliability
- Create offline and online evaluation for GenAI systems (test sets, automated metrics, human review processes) and track quality over time
- Assist with developing, training, and evaluating traditional ML models when needed (e.g., classification, regression, anomaly detection, recommendation)
- Clean, preprocess, and analyze structured and unstructured data; build reproducible data pipelines for model inputs and evaluation
- Collaborate with data scientists, software engineers, security, and product teams to translate business requirements into safe, scalable solutions
- Support deployment, monitoring, and cost/performance optimization for GenAI services (latency, token usage, caching, drift, incident response)
- Write clean, maintainable, and well-documented code; contribute to code reviews, runbooks, and user documentation
- Works under guidance to make day-to-day technical decisions such as selecting baseline prompts/RAG patterns, defining evaluation criteria (quality, safety, latency, cost), and proposing experiment plans
- Escalates architecture, production rollout, security, and data governance decisions to senior engineers/tech lead; contributes input through code reviews, documentation, and demos
Skills
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience)
- Internship, academic project, or capstone experience building GenAI/LLM or ML applications
- Hands-on experience with at least one LLM framework/tooling (e.g., LangChain, LlamaIndex, Semantic Kernel) or equivalent custom orchestration
- Exposure to RAG building blocks (document ingestion, chunking, embeddings, vector databases/search)
- Familiarity with evaluation approaches for LLM systems (golden sets, qualitative rubrics, automated checks) and basic experiment tracking
- Familiarity with SQL and relational databases; experience working with unstructured text data is a plus
- Basic knowledge of cloud platforms (AWS, Azure, or GCP) and deploying services via APIs
- Experience with version control tools (Git/GitHub) and collaborative development workflows
- IT Skills: Python; Jupyter/VS Code; Git; Linux fundamentals; Docker basics; REST APIs; SQL; basic CI/CD concepts; familiarity with LLM APIs and orchestration frameworks (e.g., LangChain/LlamaIndex/Semantic Kernel); embeddings and vector databases/search (e.g., Pinecone/FAISS/Azure AI Search or equivalent); experiment tracking/evaluation tooling (e.g., MLflow or equivalent); basic monitoring/observability concepts (logs, traces, latency, token usage)
Benefits
- Medical, dental, and vision insurance
- 401(k) retirement plan with a company match that vests fully on day one
- Eight (8) weeks of paid parental leave after just three (3) months of employment
- Paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays
- Flexible spending and health savings accounts
- Life and AD&D insurance
- Short- and long-term disability coverage
- Legal assistance
- Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance
- Voluntary commuter benefits
- Family planning and care resources
- Well-being initiatives
- Peer-to-peer recognition programs
Company Overview
- Legend Biotech is a biopharmaceutical company that develops and commercializes novel cell therapies for oncology. It was founded in 2014, and is headquartered in Piscataway, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is https://www.legendbiotech.com.
Company H1B Sponsorship
- Legend Biotech has a track record of offering H1B sponsorships, with 30 in 2025, 11 in 2024, 14 in 2023, 7 in 2022, 6 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.