AI Engineer

Role Overview

We are seeking an AI Engineer to design, develop, and deploy AI-driven applications utilizing large language models. You will build autonomous agentic systems, architect RAG pipelines, and manage production workloads on cloud infrastructure to deliver cutting-edge AI solutions.

Responsibilities

• Design and deploy applications using LLMs like GPT, Llama, and Claude.
• Integrate LangChain and LangGraph for robust agent workflows and tool orchestration.
• Develop function-calling mechanisms and manage APIs for seamless service integration.
• Write clean, scalable code in Python using Pydantic and async frameworks.
• Deploy and manage AI workloads on Google Cloud Platform (GCP) including Vertex AI.
• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines with vector stores and embeddings.
• Build large-scale scraping and ingestion pipelines using Playwright and BeautifulSoup.

Requirements

• Bachelor’s or Master’s degree in CS, Engineering, Data Science, or a related field.
• 1-5 years of experience in AI/ML with strong exposure to LLMs and agent frameworks.
• Proficiency in Python and experience with LangChain and LangGraph.
• Hands-on experience with GCP for deploying production AI workloads.
• Deep understanding of ML fundamentals, embeddings, and vector databases.
• Proven experience with function calling, API integrations, and RAG pipelines.

Nice to Have

• Familiarity with multi-modal models and fine-tuning methods like LoRA.
• Knowledge of MLOps and model monitoring practices.
• Experience with containerization using Docker and Kubernetes.
• Experience with scraping frameworks like Playwright.

Skills

• Python
• LangChain
• GCP
• RAG
• LLMs