AI Software Developer

Quantum Technologies. LLC; St. Louis (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced AI Developer to design, build, and deploy enterprise-grade AI solutions.

You will work on Generative AI and LLM-based applications, integrating AI services into enterprise platforms and building scalable backend services. The ideal candidate has 7+ years in software development, strong Python/Java skills, and hands-on experience with leading AI platforms and frameworks.

Qualifications

• 7+ years of software development experience.
• 2+ years with Generative AI/LLM application development.
• Strong Python (or Java) skills.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini or similar LLM platforms.
• Experience building AI apps using LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation, prompt engineering, vector databases, and AI agents.
• Experience developing REST APIs using FastAPI, Flask, Spring Boot, or similar frameworks.
• Cloud experience with Azure, AWS, or Google Cloud.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
• Familiarity with SQL/NoSQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate).

Responsibilities

• Design and develop AI-powered applications using Large Language Models (LLMs).
• Build and optimize RAG pipelines and AI agent workflows.
• Integrate AI services into enterprise applications and APIs.
• Develop scalable backend services for AI solutions.
• Collaborate with architects, product owners, and business stakeholders to define AI use cases.
• Optimize AI model performance, cost, and response quality.
• Ensure security, governance, and compliance for AI implementations.
• Participate in code reviews, testing, and production deployments.
• Document AI solutions and mentor junior developers when needed.

Skills

Generative AI

LLM development

Python

Java

LangChain

RAG pipelines

Vector databases

API design

Cloud platforms

REST APIs

Debugging

Communication

Tools

OpenAI

Azure OpenAI

Anthropic

Gemini

LangGraph

Semantic Kernel

LlamaIndex

FastAPI

Flask

Spring Boot

Docker

Kubernetes

CI/CD

Git

Pinecone

FAISS

ChromaDB

Weaviate

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H4-EAD, Other

Job Summary

We are seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will have strong experience building Generative AI and LLM-based applications, integrating AI services into enterprise platforms, and developing scalable cloud-native applications. This role requires close collaboration with business stakeholders, architects, and engineering teams to deliver secure, production-ready AI solutions.

Required Skills

• 7+ years of software development experience.
• 2+ years of hands-on experience with Generative AI/LLM application development.
• Strong programming skills in Python (preferred) and/or Java.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
• Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents.
• Experience developing REST APIs using FastAPI, Flask, Spring Boot, or similar frameworks.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
• Familiarity with SQL/NoSQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.).
• Strong debugging, analytical, and communication skills.

Responsibilities

• Design and develop AI-powered applications using Large Language Models (LLMs).
• Build and optimize RAG pipelines and AI agent workflows.
• Integrate AI services into enterprise applications and APIs.
• Develop scalable backend services for AI solutions.
• Collaborate with architects, product owners, and business stakeholders to define AI use cases.
• Optimize AI model performance, cost, and response quality.
• Ensure security, governance, and compliance for AI implementations.
• Participate in code reviews, testing, and production deployments.
• Document AI solutions and mentor junior developers when needed.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.