Artificial Intelligence Engineer
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-08-28
Listing for:
Gala Solutions
Full Time
position Listed on 2026-08-28
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Location:
St. Louis, MO (Hybrid – 4 days onsite)
Duration:
Long-term Contract
Experience:
7+ Years
Pay Rate: $95
Job SummaryWe 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 Lang Chain, Lang Graph, Semantic Kernel, or Llama Index.
- 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/No
SQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.). - Strong debugging, analytical, and communication skills.
- 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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