What are the responsibilities and job description for the Applied AI Engineer position at LOGIXtech Solutions?
Job Details
Our client, a leading financial services company is hiring an Applied AI Engineer on a long-term contract basis.
Job ID 83919
Work Location:
Englewood, NJ
Summary:
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.
Responsibilities:
Required Skills:
Pay: $60-$70 per hour
Job ID 83919
Work Location:
Englewood, NJ
Summary:
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.
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 Skills:
- 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
- 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
- Cursor OR Windsurf: AI-powered development environments
- GitHub Copilot/CodeWhisperer: AI productivity tools
- 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
- 3-5 years in software engineering
- eCommerce experience strongly preferred (product search, chatbots, personalization)
- Production web application development
- Agile/DevOps practices
Pay: $60-$70 per hour
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60 - $70
