AI/ML Engineer - Agentic AI
Skills
Cross-Functional Team LeadershipData ScienceEngineeringEnterprise DataGoogle Cloud PlatformHealthcareMeasurements
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of experience in AI/ML Data Science or Software Engineering
- Strong understanding of machine learning algorithms evaluation metrics and model validation techniques
- Expertise in Agentic AI concepts including LLMs RAG memory reasoning and prompt engineering
- Hands-on experience building AI solutions using OpenAI Azure OpenAI Anthropic Gemini or similar platforms
- Experience with Python and AI frameworks such as LangChain LangGraph Semantic Kernel or LlamaIndex
- Proven experience evaluating AI systems detecting hallucinations and measuring model performance
- Knowledge of scalable architecture workflow orchestration and AI governance
- Experience deploying production AI solutions using MLOps LLMOps practices
Nice to have
- Multi-agent systems
- Cloud expertise
- AI security awareness
- Regulated industry experience
- Relevant certifications
Day to day
- Design and build enterprise AI solutions using LLMs Agentic AI and RAG architectures
- Collaborate with cross-functional teams to deliver scalable secure production-ready AI applications
- Evaluate AI systems for quality hallucinations regression and agent effectiveness
- Integrate enterprise data sources and develop intelligent AI workflows
- Deploy and manage AI applications using LLMOps MLOps best practices
Hiring process
- Apply Now