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# AI Developer

- **Company:** Tellus Equipment Solutions, LLC
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Code Review, Computer Programming, Continuous Integration, Software Debugging, Python (Programming Language), NoSQL, Software Deployment, Software Engineering, SQL Databases, Systems Integration, Google Cloud, Enterprise Software Applications, Spring Cloud, Flask (Web Framework), Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, Git, Fastapi, AI Platforms, Kubernetes, Virtual Agents, Restful APIs, Docker
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=abbc8e19cfe63c88

## About the Role

* 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.

## Description

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.
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.


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