Lead AIML Engineer
Core
Design, develop, and optimize enterprise-grade agentic AI workflows and scalable multi-tenant SaaS platforms on public cloud environments.
Role type
Lead Agentic AI Engineer
Builds
Agentic AI systems, LLM integrations, RAG solutions, and secure AI applications
Domain
Generative AI, Agentic AI, Cloud Infrastructure, SaaS
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Agno, Semantic Kernel), LLM integration (AWS Bedrock, Azure AI Foundry, Vertex AI), RAG, Function Calling, Structured Data Extraction, MCP server development, AI security & governance, Cloud platforms (AWS, Azure, GCP), Containerization (Docker, Kubernetes), CI/CD (GitHub Actions, Terraform), Vector databases (Pinecone, Weaviate, Qdrant, pgvector)
Preferred skills
Customer technical discovery, Sales enablement, Team mentorship
Technologies
LangGraph, AutoGen, CrewAI, Agno, Semantic Kernel, AWS Bedrock, Azure AI Foundry, Vertex AI, Pinecone, Weaviate, Qdrant, pgvector, NeMo Guardrails, Guardrails AI, Docker, Kubernetes, GitHub Actions, Terraform
Responsibilities
Architect scalable, secure, and multi-tenant SaaS platforms; Build and deploy agentic AI systems; Implement RAG, function calling, and intelligent document processing; Establish LLM governance practices and AI guardrails; Develop cloud-native AI applications; Mentor engineering teams on agentic AI architecture
Seniority
Lead, hands-on IC with technical strategy
