Senior AI & LLM Engineer for Enterprise AI

Robotics Technologies LLC; St. Louis (MO); Presencial; USD 120.000 - 180.000; Tempo integral

Resumo da vaga

Robotics Technologies LLC in Missouri seeks an experienced AI Developer to design, implement, and deploy enterprise-grade AI solutions. You will build Generative AI/LLM applications, integrate AI services into enterprise platforms, and develop scalable cloud-native backends.

Collaboration with business stakeholders, architects, and engineering teams is essential to deliver secure, production-ready AI solutions.

Qualificações

• 7+ years of software development experience.
• 2+ years with Generative AI/LLM app development.
• Strong Python and/or Java skills.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini or similar platforms.
• Experience with AI frameworks and RAG pipelines.
• Experience building REST APIs and cloud services.
• Knowledge of Docker, Kubernetes and CI/CD.
• Familiarity with vector databases and AI agents.

Responsabilidades

• Design and develop AI-powered applications using LLMs.
• Build and optimize RAG pipelines and AI agent workflows.
• Integrate AI services into enterprise apps and APIs.
• Develop scalable backend services for AI solutions.
• Collaborate with architects and stakeholders to define AI use cases.
• Optimize model performance, cost, and reliability.
• Ensure security, governance, and compliance for AI implementations.
• Participate in code reviews, testing, and deployments.
• Document AI solutions and mentor junior developers.

Ferramentas

Python

Java

Generative AI/LLM development

LLM platforms (OpenAI, Azure OpenAI, Anthropic, Gemini)

REST APIs (FastAPI, Flask, Spring Boot)

Cloud platforms (Azure, AWS, GCP)

Docker

Kubernetes

CI/CD, Git

Vector DBs (Pinecone, FAISS, ChromaDB, Weaviate)

LangChain/LangGraph/Semantic Kernel/LlamaIndex

Descrição da vaga

Robotics Technologies LLC in Missouri seeks an experienced AI Developer to design, implement, and deploy enterprise-grade AI solutions. You will build Generative AI/LLM applications, integrate AI services into enterprise platforms, and develop scalable cloud-native backends.

Collaboration with business stakeholders, architects, and engineering teams is essential to deliver secure, production-ready AI solutions.