Generative AI Engineer

The Role

We're looking for a Generative AI Engineer who builds production-ready AI systems. You understand LLM orchestration, agentic workflows, and how to architect solutions that scale.

What You'll Do

●    Design LLM orchestration and agentic AI systems with multi-step reasoning

●    Build RAG pipelines with vector databases and semantic search

●    Develop AI agents using frameworks like LangGraph, CrewAI, AutoGPT, or custom implementations

●    Apply prompt/context engineering and fine-tuning strategies

●    Optimize for cost, latency, and reliability in production

Technical Requirements

●    Strong Python and software engineering fundamentals

●    Experience with LLM APIs (Gemini, OpenAI, Anthropic, open-source models)

●    Agentic framework experience (LangGraph, LangChain, CrewAI, Semantic Kernel, etc.)

●    Hands-on with RAG architectures and vector databases (Pinecone, Weaviate, ChromaDB). Retrieval optimization and embeddings

●    Knowledge of prompt/context engineering, few-shot learning, context window management and chain-of-thought techniques

●    Fine-tuning (LoRA, full fine-tuning), Multi-agent coordination and orchestration patterns

●    Model evaluation and observability (LangSmith, Weights & Biases)

What We're Looking For

●    You've shipped LLM-powered features to production

●    You understand the tradeoffs between different approaches (RAG vs fine-tuning vs prompt engineering vs context engineering)

●    You can debug black-box model behaviors

●    You stay current with the rapidly evolving various AI platformsGolang, typescript, Python, R, ML