Senior AI Engineer
Core
Senior AI Engineer building and integrating AI layers, LLMs, and agentic systems into client products and internal builds.
Role type
Senior IC AI Engineer (LLM & Agentic Systems)
Builds
Production AI products, RAG architectures, and agentic workflows for client organizations.
Domain
Consulting, AI/ML, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, JavaScript, Node.js, C#, Java, LLM integration, RAG architecture design, AWS or Azure, Infrastructure as Code (Terraform), CI/CD pipelines, Vector databases, AI output testing and monitoring
Preferred skills
Agentic frameworks (LangChain, CrewAI, etc.), MCP, ETL pipelines, AI security and governance, Fine-tuning, Regulated industry experience
Technologies
Python, JavaScript, Node.js, C#, Java, AWS, Azure, Terraform, GitHub Actions, GitLabCI, Jenkins, Azure DevOps, LangChain, LangGraph, Amazon Bedrock AgentCore, CrewAI, LlamaIndex, Strands Agents, Google ADK, OpenAI Agents SDK, Vector databases
Responsibilities
Design and implement RAG architectures with retrieval strategies and grounding; Engineer AI layers including agents, APIs, and data pipelines; Support live products with systematic testing and monitoring of AI output quality; Collaborate in pairing/mobbing scenarios to deliver maintainable code; Integrate AI solutions into existing products or build new ones.
Seniority
Senior, hands-on IC