What are the responsibilities and job description for the Applied AI engineer position at HSAD North America?
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
- Python: FastAPI, Flask, Django (3 years required)
- Java: Spring Boot, Spring Security, Spring Data
- JavaScript: React, Next.js, Node.js
- Strong API development and microservices architecture
AI/ML Frameworks & Tools (Required)
- RAG Implementation: MUST HAVE - Production experience with RAG pipelines
- LangChain/LlamaIndex: Building AI applications and chains
- Vector Databases: Pinecone, Weaviate, OpenSearch
- Embedding Models: OpenAI, Cohere, Sentence Transformers
- Data Science: Foundation knowledge
Development Tools (Required)
- Cursor OR Windsurf: AI-powered development environments
- GitHub Copilot/CodeWhisperer: AI productivity tools
AWS Cloud Platform (Required)
- AWS Bedrock: Managed foundation models
- Prompt Engineering: Advanced prompt design and optimization
- AI Guardrails: Safety and content filtering mechanisms
- Additional: Lambda, ECS/EKS, API Gateway, S3, DynamoDB
Experience Requirements
- 3-5 years in software engineering
- eCommerce experience strongly preferred (product search, chatbots, personalization)
- Production web application development
- Agile/DevOps practices
What You'll Work On
- eCommerce AI features: conversational commerce, semantic search, content generation
- API-first AI microservices following best practices
- POCs demonstrating AI capabilities and ROI
- Technical documentation and implementation guide
Salary : $110,000 - $125,000