3 days ago
Prague, Czechia or Hyderābād, IndiaSenior
Responsibilities
- Build and deploy production-ready generative and agentic AI features, LLM applications, and agents on AWS.
- Implement LLM inference pipelines using prompting, retrieval-augmented generation, tool and function calling, and structured output.
- Develop agents with frameworks such as Strands, LangGraph, LangChain, or CrewAI and integrate them into applications and workflows.
- Build secure APIs and containerized backend services for models, agents, and tools.
- Contribute to evaluation, tracing, monitoring, and observability for quality, cost, and latency.
- Apply reproducible ML and MLOps practices, including data, model, and prompt versioning and systematic evaluation.
- Use version control, automated testing, code review, containerization, and CI/CD practices.
- Collaborate with engineers, scientists, data experts, and AI specialists to deliver reliable and scalable solutions.
- Help ensure solutions meet standards for quality, performance, security, compliance, and reliability.
Requirements
- At least 3 years of software engineering experience, including recent hands-on work building LLM-powered or ML applications.
- Strong Python skills and solid software engineering fundamentals, including testing, version control, and CI/CD.
- Familiarity with DevOps and MLOps practices, containers, CI/CD, and reproducible, well-tested pipelines.
- Hands-on experience with LLM inference, prompting, RAG, 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 with curiosity and a practical approach to complex technical problems.
- Desirable experience with Amazon Bedrock or Bedrock AgentCore.
- Desirable experience with vector stores such as OpenSearch or pgvector 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.
Benefits
- Expected annual base salary is CZK 750,050.00–1,392,950.00, with potential eligibility for a performance-based bonus.
- Benefits may include insurance plans, retirement plans, wellbeing resources, global recognition programs, and at least 14 weeks of paid parental leave.
- The role offers flexible and hybrid working options where possible and is located in Prague, Czech Republic.
Tech Stack
Categories
About Novartis
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki