[Remote] Full Stack AI Engineer (Generative AI)
Note: The job is a remote job and is open to candidates in USA. Acumenz Consulting is seeking a Full Stack AI Engineer specializing in Generative AI to build enterprise AI-powered applications. The role involves developing frontend and backend systems, integrating large language models and agentic AI, implementing RAG architectures, and deploying cloud-native applications using modern infrastructure and CI/CD practices.
Responsibilities
- Strong Full Stack + Generative AI experience building enterprise AI-powered applications
- Strong frontend experience with React.js/Next.js, TypeScript/JavaScript
- Strong backend experience with Python (FastAPI/Flask) plus Java, .NET, or Node.js
- Hands-on experience with LLMs, OpenAI, Claude, Gemini, Azure OpenAI, prompt engineering, function calling, and structured outputs
- Strong AI Agent / Agentic AI / Multi-Agent development experience, including MCP
- Strong RAG architecture , embeddings, semantic search, and vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS
- Experience with LangChain, LangGraph, LlamaIndex , with CrewAI/AutoGen/Semantic Kernel preferred
- Strong REST APIs, microservices, databases, and enterprise SaaS integrations
- Experience deploying cloud-native applications on AWS/Azure/GCP using Docker, Kubernetes, and CI/CD
- Preferred experience with Copilot Studio/Azure AI Foundry, Databricks/Snowflake/Fabric, AI observability, security, and responsible AI
- Strong hands-on experience with Kubernetes and GCP/GKE
- Strong Terraform, Helm, and GitHub Actions experience for IaC and CI/CD
- Proficiency in Python, Ansible, and Node.js
- Strong Prometheus and Grafana observability experience
- Solid Linux systems and networking fundamentals
- Experience with incident management, on-call support, production troubleshooting, and triage
- Strong automation and CI/CD pipeline experience
- Understanding of AI/ML and AIOps , including model lifecycle, monitoring, and AI-driven alerting
- Preferred: Google Cloud Architect, CKA, Java/Spring Boot, MLOps, Kubeflow, Vertex AI, ML pipelines, GPU workloads, distributed systems, and microservices
Skills
- Strong Full Stack + Generative AI experience building enterprise AI-powered applications
- Strong frontend experience with React.js/Next.js, TypeScript/JavaScript
- Strong backend experience with Python (FastAPI/Flask) plus Java, .NET, or Node.js
- Hands-on experience with LLMs, OpenAI, Claude, Gemini, Azure OpenAI, prompt engineering, function calling, and structured outputs
- Strong AI Agent / Agentic AI / Multi-Agent development experience, including MCP
- Strong RAG architecture , embeddings, semantic search, and vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS
- Experience with LangChain, LangGraph, LlamaIndex , with CrewAI/AutoGen/Semantic Kernel preferred
- Strong REST APIs, microservices, databases, and enterprise SaaS integrations
- Experience deploying cloud-native applications on AWS/Azure/GCP using Docker, Kubernetes, and CI/CD
- Strong hands-on experience with Kubernetes and GCP/GKE
- Strong Terraform, Helm, and GitHub Actions experience for IaC and CI/CD
- Proficiency in Python, Ansible, and Node.js
- Strong Prometheus and Grafana observability experience
- Solid Linux systems and networking fundamentals
- Experience with incident management, on-call support, production troubleshooting, and triage
- Strong automation and CI/CD pipeline experience
- Understanding of AI/ML and AIOps , including model lifecycle, monitoring, and AI-driven alerting
- Preferred experience with Copilot Studio/Azure AI Foundry, Databricks/Snowflake/Fabric, AI observability, security, and responsible AI
- Preferred: Google Cloud Architect, CKA, Java/Spring Boot, MLOps, Kubeflow, Vertex AI, ML pipelines, GPU workloads, distributed systems, and microservices
Benefits
- W2 employment for the Full Stack AI Engineer position
- Remote work for the Full Stack AI Engineer position
- Hybrid work arrangement for the Cloud Data Engineer position in Scottsdale, AZ
Company Overview