AI Engineer

Role Overview

Opportunity to build cutting-edge AI products with real-world impact, taking ownership of AI architecture and technical decisions in a collaborative, innovation-driven work environment.

Responsibilities

• Design and implement AI-powered products using LLMs, RAG pipelines, and AI Agents.
• Build and optimize prompt engineering, retrieval systems, and vector database integrations.
• Develop and deploy scalable AI/ML models and agentic workflows.
• Establish evaluation frameworks to monitor model quality, reliability, and performance.
• Collaborate with product, engineering, and DevOps teams to deliver AI features end-to-end.
• Implement AI safety, governance, and security best practices.
• Drive innovation by evaluating emerging AI tools, models, and technologies.

Requirements

• 6+ years of software engineering experience with 3+ years in AI/ML.
• Strong expertise in Python, LLMs (OpenAI, Anthropic, Gemini), and AI Agent frameworks (LangChain, LangGraph, CrewAI).
• Experience with RAG architectures, vector databases, and prompt engineering.
• Hands-on experience with model fine-tuning, deployment, and MLOps.
• Proficiency in React, APIs, SQL/NoSQL databases, Docker, Kubernetes, and Cloud platforms (AWS/GCP/Azure).
• Strong understanding of AI evaluation, monitoring, and production deployment.

Nice to Have

• Experience with multimodal AI models, knowledge graphs, or open-source AI projects.
• Familiarity with TensorRT, ONNX, or edge/on-prem model deployment.