Forward Deployment Engineer (Mid-Level Engineer)
Core
Design, architect, and develop AI-powered and GenAI solutions for enterprise business use cases, translating requirements into scalable applications.
Role type
Mid-level AI Engineer (Generative AI)
Builds
End-to-end AI applications, RAG pipelines, AI Agents, and LLM-based solutions
Domain
Enterprise AI / Generative AI
Deliverable
production ML models
Required skills
Python, LLMs (OpenAI, Claude, Gemini, Llama, Mistral), RAG pipelines, AI Agents, prompt engineering, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, vector databases (Pinecone, ChromaDB, Milvus, Weaviate, FAISS), cloud AI platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI), MLOps, REST APIs, microservices
Preferred skills
Containerization (Docker, Kubernetes)
Technologies
LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, Pinecone, ChromaDB, Milvus, Weaviate, FAISS, Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, Docker, Kubernetes
Responsibilities
Design and implement AI/GenAI solutions, build RAG pipelines and AI Agents, integrate AI with enterprise systems, optimize model performance and cost, collaborate with cross-functional teams, prepare technical proposals and presentations
Seniority
Mid-level, hands-on IC
