AI Engineer
Core
Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution within the Growth Group's digital products.
Role type
Senior IC AI Engineer (Multi-Agent Systems & LLMs)
Builds
Multi-agent AI systems, RAG pipelines, and optimized inference services for B2B and DTC digital products.
Domain
Consumer Goods / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, C++/Go, LLMs (OpenAI, Anthropic, Llama, Mistral), Agent orchestration (LangChain, LangGraph), Vector databases (Pinecone, Weaviate, FAISS, Milvus), Distributed systems, Kubernetes/AKS/EKS/GKE, Inference optimization (ONNX, TensorRT, DeepSpeed), Cloud platforms (Azure, AWS, GCP), Infrastructure as Code (Terraform, CloudFormation, Bicep), AI Security (prompt injection, adversarial testing)
Preferred skills
Multi-agent simulations (AutoGen, CrewAI, OpenAI Swarm), Red-teaming, Graph databases (Neo4j, ArangoDB), Open-source contributions
Technologies
LangChain, LangGraph, Azure AI Foundry, KServe, Triton Inference Server, Ray Serve, Azure DevOps, GitHub Actions, ArgoCD, Terraform, CloudFormation, Bicep, ONNX Runtime, TensorRT, DeepSpeed, Pinecone, Weaviate, FAISS, Milvus, Kubernetes, AKS, EKS, GKE
Responsibilities
Design and deploy multi-agent AI systems for reasoning and task execution; Implement RAG pipelines using orchestration tools; Optimize model serving for low-latency inference; Build observability and evaluation frameworks; Collaborate on integrating data sources into agent workflows; Apply security and alignment techniques; Participate in architectural decisions for distributed systems and GPU usage. (via careerplan.io/jobs/8868236002-ai-engineer-at-bees)
Seniority
Senior, hands-on IC
