AI Engineers
Core
Design, build, and deploy production-grade AI systems powered by large language models, focusing on orchestration, tool integration, and reliable workflows.
Role type
Senior IC AI Engineer (LLM Systems & Orchestration)
Builds
Production AI applications, multi-agent systems, and RAG pipelines for enterprise clients
Domain
AI/ML, Large Language Models, Enterprise Software
Deliverable
production ML models
Required skills
LLM API integration, RAG architecture, vector databases, agentic frameworks, Python, cloud platforms (AWS/GCP/Azure), distributed systems, data manipulation (pandas/SQL), prompt engineering, observability
Preferred skills
Fine-tuning LLMs, real-time streaming, multimodal models, Elasticsearch, model observability tools, domain-specific compliance knowledge
Technologies
LangGraph, Strands, Claude Agents SDK, Databricks, AWS, GCP, Azure, LangSmith, Weights & Biases, Elasticsearch, HyDE
Responsibilities
Design and implement production AI systems integrating LLMs, RAG pipelines, and agentic frameworks; Create evaluation frameworks to measure system performance; Build and maintain production-grade AI applications with clean code and APIs; Implement feedback loops and observability; Craft effective prompts and optimize for latency, cost, and quality
Seniority
Senior, hands-on IC