Artificial Intelligence Engineer

Gala Solutions; St. Louis (MO); Hybrid; USD 112,000 - 150,000; Full time

Job summary

Gala Solutions in St. Louis, MO is seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions using Generative AI and LLMs.

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

Qualifications

• 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 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.

Skills

Python

Generative AI

LLM platforms

LangChain

RAG pipelines

REST APIs

Cloud platforms

Docker

Kubernetes

Git

Databases

CI/CD

Prompt engineering

Tools

LangChain

LangGraph

Semantic Kernel

LlamaIndex

FastAPI

Flask

Spring Boot

Job description

Location: St. Louis, MO (Hybrid – 4 days onsite)

Duration: Long-term Contract

Experience: 7+ Years

Pay Rate: $95

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.