Specialist, AI Engineering
Core
Senior/Principal AI Engineer driving end-to-end development of GenAI applications, including prompt engineering, fine-tuning, RAG pipelines, and LLM-based workflows for a global healthcare biopharma company.
Role type
Senior/Principal AI Engineer (GenAI)
Builds
Custom software and GenAI-driven solutions for global healthcare, vaccines, and animal health products.
Domain
Healthcare Biopharma / Generative AI
Deliverable
production ML models
Required skills
RAG architectures, Prompt engineering, AgentOps, Python programming, Harness engineering, Model Context Protocol (MCP), NLP and text processing, Transformer architectures
Preferred skills
Multimodal AI systems, LLM evaluation techniques, Advanced chunking strategies, PyTorch
Technologies
LangChain, Google ADK, Strands, Semantic Kernel, Claude CLI, GitHub Copilot, Vertex AI, Codex, AWS, GCP, Databricks
Responsibilities
Implement Agentic AI systems enabling multi-step reasoning and task orchestration; Apply advanced prompt engineering techniques to improve accuracy and robustness; Build multimodal AI solutions integrating text with images or structured data; Develop reusable agent tooling and integrations for enterprise services; Collaborate with cross-functional stakeholders to translate business problems into scalable GenAI-driven solutions; Support deployment and operationalization of AI solutions using cloud platforms.
Seniority
Senior/Principal, technical leadership & mentorship
