Full Stack AI Engineer
Core
Lead technical delivery of agentic AI programs, bridging business problems with technical solutions to design and build production-grade systems that generate measurable value.
Role type
Senior IC/Manager Full Stack AI Engineer (Agentic AI)
Builds
Production agentic AI systems, agent harnesses, orchestration topologies, knowledge layers, and full stack applications.
Domain
Enterprise AI, Agentic AI, Cloud-Native Development
Deliverable
production ML models | product features
Required skills
Agent orchestration frameworks, LLM gateway configuration, RAG pipelines, MCP servers, Prompt architecture, Full stack engineering (Python, React/Angular/Node.js), Cloud-native development (AWS/Azure/GCP), Knowledge graph engineering, DevOps/LLMOps practices, Client stakeholder engagement
Preferred skills
Master's degree in AI/ML/Data Engineering, Experience with complex digital transformation programs, Hands-on knowledge of latest agentic AI developments
Technologies
LangGraph, AutoGen, CrewAI, AWS Strands, Elasticsearch, React, Angular, Node.js, Python, AWS, Azure, GCP
Responsibilities
Architect and deliver agentic AI solutions end-to-end including agents, orchestration, and tool layers; Design and implement knowledge layer components like RAG pipelines and Text-to-SQL; Lead workstream delivery in agile environments managing scope and technical risk; Lead, manage, and develop a team of Consultants and Analysts; Serve as primary technical point of contact for client stakeholders translating requirements to solutions.
Seniority
Senior, hands-on IC with team leadership responsibilities