AI Engineer

• Design and implement agent architectures (Knowledge, Review, Triage, Workflow, Research, Recommendation agents)
• Apply advanced prompt engineering techniques tailored to clinical and regulated environments
• Build and maintain RAG pipelines with knowledge base and vector database integrations
• Optimize agent performance across accuracy, latency, and cost dimensions
• Establish evaluation frameworks, quality metrics, and validation strategies for LLM-based agents
• Collaborate with domain analysts to translate clinical operations requirements into agent specifications
• Mentor AI/ML engineers and promote best practices in agent and LLM application development
• Partner with the Platform Pod to propose improvements to SADK and identify new MCP server needs
• Contribute hands-on to development tasks (70%+ coding involvement)

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.