Applied AI engineer

Applied AI Engineer

Position Overview

We are seeking an Applied AI Engineer with a strong software engineering background to join our AI initiative team, focusing on building production LLM applications and implementing cutting-edge AI solutions. This role requires hands-on coding expertise across full-stack development with emphasis on LLM / RAG systems.

Key Responsibilities

• Build production LLM applications using FastAPI / Spring Boot backends with React / Next.js frontends
• Implement and optimize RAG systems with vector databases (Pinecone, Weaviate, OpenSearch)
• Develop reusable LLM components (prompt engineering, chain orchestration, response streaming)
• Create REST / GraphQL APIs for AI services integration
• Deploy containerized AI applications on AWS (ECS / EKS, Lambda)
• Assess and evaluate AI tools, making strategic build vs. buy recommendations
• Implement caching, rate limiting, and guardrails for LLM APIs

Required Technical Skills

Programming Languages & Frameworks

FastAPI, Flask, Django (3+ years required)

Spring Boot, Spring Security, Spring Data

React, Next.js, Node.js

AI / ML Frameworks & Tools (Required)

MUST HAVE - Production experience with RAG pipelines

Building AI applications and chains

Pinecone, Weaviate, OpenSearch

OpenAI, Cohere, Sentence Transformers

Development Tools (Required)

AI-powered development environments

AI productivity tools

AWS Cloud Platform (Required)

Managed foundation models

Advanced prompt design and optimization

Safety and content filtering mechanisms

Experience Requirements

What You'll Work On