Sr. Specialist, AI Engineering
Core
Design and implement end-to-end GenAI applications, including agentic AI systems, RAG pipelines, and LLM-based workflows for a global healthcare biopharma company.
Role type
Senior/Principal AI Engineer (GenAI & Agentic Systems)
Builds
Production-grade GenAI applications, multi-agent systems, and custom software solutions for healthcare and biopharma.
Domain
Healthcare / Biopharma / Generative AI
Deliverable
production ML models
Required skills
RAG architectures, prompt engineering, Python programming, LLM-powered application development, AgentOps practices, context engineering, harness engineering, Model Context Protocol (MCP), ML/AI pipeline automation, NLP and text processing, transformer architectures
Preferred skills
Advanced agentic patterns, multimodal AI systems, LLM evaluation techniques, LLMOps/MLOps practices
Technologies
LangChain, Google ADK, Strands, Semantic Kernel, Databricks, AWS, GCP, Vertex AI, Claude CLI, GitHub Copilot, Codex
Responsibilities
Design and implement Agentic AI systems leveraging frameworks like LangChain and Semantic Kernel; Develop and operationalize multi-agent systems with planning and tool usage; Apply advanced prompt engineering techniques to improve LLM accuracy; Establish AgentOps practices for observability and performance monitoring; Build multimodal AI solutions integrating text with images or structured data; Develop reusable agent tooling and integrations for enterprise services; Collaborate with stakeholders to translate business problems into scalable GenAI-driven solutions.
Seniority
Senior/Principal, hands-on IC with technical leadership
