Artificial Intelligence Engineer

Role Overview

The AI Engineer will be responsible for designing, building, and operating production-grade AI services. This role focuses on backend engineering, system architecture, and reliable deployment of AI capabilities at scale, working closely with AI Specialists to bring research and prototypes into real-world applications.

Key Responsibilities

Design and implement backend services and microservices supporting AI-driven products

Build and maintain high-performance APIs using FastAPI for AI services

Integrate Large Language Models (LLMs) and agentic AI workflows into production systems

Develop clean, maintainable, and well-structured code following established design patterns

Design and manage data persistence layers using SQL Alchemy and relational databases

Deploy, operate, and monitor AI systems on AWS

Implement and maintain CI/CD pipelines for AI services

Collaborate with cross-functional teams to deliver robust AI solutions

Ensure scalability, reliability, security, and cost efficiency of AI services

Required Qualifications

Strong experience with Python and backend software development

Proven experience designing and working with microservices architectures

Hands-on experience integrating and using LLMs in applications

Solid understanding of software design patterns and clean code principles

Experience with Docker and cloud environments (AWS preferred)

Familiarity with CI/CD pipelines and production monitoring practices

Strong problem-solving skills and attention to detail

Preferred Qualifications

Master's degree or advanced specialization in AI/ML

Experience with agentic AI frameworks (e.g., LangChain, LlamaIndex, CrewAI)

Familiarity with LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) frameworks

Exposure to MLOps practices and inference optimization

Background in industrial-scale or complex enterprise AI implementations