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Novartis

Global pharmaceutical company delivering science-based innovations

AI Engineer

AI Application Engineering +1Posted on Nov 13
Full-timePrague, Czechia

About the Job

Requirements

  • At least 3 years of software engineering experience, including recent hands-on work building LLM-powered or machine-learning applications.
  • Strong Python skills and solid software engineering fundamentals, including testing, version control, and continuous integration and continuous delivery.
  • Familiarity with DevOps and MLOps practices, including containers, continuous integration and continuous delivery, and reproducible, well-tested pipelines.
  • Hands-on experience with LLM inference, including prompting, retrieval-augmented generation, and tool use or function calling.
  • Experience building and deploying services on AWS.
  • Familiarity with at least one agentic framework, such as Strands, LangGraph, LangChain, CrewAI, or an equivalent.
  • Ability to work effectively in a collaborative, multidisciplinary environment.
  • Curiosity, a learning orientation, and a practical approach to solving complex technical problems.

Responsibilities

  • Build production-ready generative and agentic AI features, including LLM applications and agents on AWS, owning them from implementation through testing and deployment.
  • Implement LLM inference pipelines, including prompting, retrieval-augmented generation, tool and function calling, and structured output.
  • Develop AI agents using agentic frameworks such as Strands, LangGraph, LangChain, CrewAI, or similar, and integrate them into existing applications and workflows.
  • Build secure APIs and containerized backend services for models, agents, and tools.
  • Contribute to evaluation and observability practices, including test sets, tracing, and monitoring cost and latency.
  • Follow good ML and MLOps practices, including reproducible pipelines, data, model, and prompt versioning, and systematic evaluation.
  • Apply DevOps fundamentals, including version control, automated testing, code review, containerization, and continuous integration and continuous delivery.
  • Use AI coding tools, such as Claude Code or GitHub Copilot, to improve throughput and code quality.
  • Collaborate with engineers, scientists, data experts, and AI specialists to deliver reliable and scalable AI-enabled solutions.
  • Help ensure solutions meet required standards for quality, performance, security, compliance, and reliability.
  • Work on agentic AI for drug discovery, scientific workflow automation, and lab-in-the-loop systems, building agents, tools, and services that help scientists find targets faster, automate routine research workflows, and support connections between AI predictions and wet-lab experiments.

Desired Qualifications

  • Exposure to Amazon Bedrock and/or Bedrock AgentCore.
  • Experience with vector stores such as OpenSearch, pgvector, or similar, and embeddings.
  • Familiarity with AI coding assistants in a professional workflow.
  • Experience in a regulated or life-science environment.
  • Awareness of responsible AI practices, including evaluation, guardrails, monitoring, privacy, and security considerations.

About the Company

Novartis

Global pharmaceutical company delivering science-based innovations

Novartis is a global pharmaceutical company that uses science-based innovations to develop treatments and improve patient outcomes worldwide. Its products are medicines developed through research and development to address various diseases, aiming to reach nearly 1 billion people. The company differentiates itself by large-scale investment in R&D, a global presence with a diverse workforce, and a clear mission to Reimagine Medicine, focusing on meeting the changing needs of patients. Its goal is to improve quality of life and extend life expectancy by delivering meaningful therapies through its research and development efforts.

Company size
10,001+
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1970

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