AI Engineer
Core
Build end-to-end Generative AI systems, LLM-powered applications, and data pipelines to turn AI models into dependable production software for enterprise use cases.
Role type
Senior IC AI Engineer (Generative AI & MLOps)
Builds
Generative AI systems, LLM applications, agentic workflows, and scalable data/ML pipelines
Domain
Enterprise software, Generative AI, Cloud AI platforms
Deliverable
production ML models
Required skills
Python, SQL, Generative AI stack (prompt engineering, fine-tuning, LLM orchestration), MLOps (CI/CD, Docker, model serving), Vector databases (RAG, embeddings), Cloud AI platforms (Azure, AWS, GCP)
Preferred skills
IoT/edge analytics, LLMOps frameworks (LangChain, Semantic Kernel), Statistical modeling, Microsoft ecosystem (Copilot, Power Platform), Data privacy/governance
Technologies
Azure OpenAI, Azure ML, AWS SageMaker, Google Vertex AI, Palantir AIP, LangChain, Semantic Kernel, Microsoft Agent Framework, Snowflake, Docker, Pandas, scikit-learn
Responsibilities
Develop and deploy Generative AI systems and LLM applications; Build and maintain data pipelines for AI systems; Implement retrieval and embedding workflows; Guide junior engineers on technical problems; Partner with stakeholders to translate business challenges into AI solutions
Seniority
Mid-Senior, hands-on IC
