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# AI Engineer

- **Company:** Accede Solutions Inc
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Engineering, Pinecone, Google Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Agentic-AI, Fastapi, AI Platforms, Kubernetes, Weaviate, Machine Learning Operations, FAISS, Evaluation of Large Language Models, Restful APIs, Docker, ChromaDB
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/261fce57-b44a-4bb3-a3f1-3705bc9df735

## About the Role

We are looking for an experienced AI/ML Engineer to design, develop, and implement intelligent machine learning and Generative AI solutions. The ideal candidate will have strong hands-on experience in Python, machine learning, Large Language Models (LLMs), and building scalable AI-powered applications.

The individual will work on developing advanced AI solutions, integrating machine learning models into existing applications, and deploying production-ready systems., * 5+ years of experience in AI/ML engineering or related software development.

 * Strong programming skills in Python.
 * Hands-on experience with Machine Learning and Deep Learning.
 * Experience working with LLMs and Generative AI technologies.
 * Strong understanding of RAG architecture, embeddings, and semantic search.
 * Experience with frameworks such as LangChain, LlamaIndex, or similar.
 * Familiarity with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
 * Experience developing REST APIs using FastAPI or Flask.
 * Understanding of model deployment, monitoring, and MLOps practices.
 * Experience with Docker, Kubernetes, and cloud-based environments.

Preferred Skills

 * Experience with AWS, Azure, or Google Cloud.
 * Knowledge of MLflow and CI/CD pipelines.
 * Experience building enterprise-grade AI applications.
 * Knowledge of LLM evaluation, prompt engineering, and AI observability.
 * Experience with agentic AI frameworks and multi-agent systems.

## Description

* Design, develop, and implement machine learning and AI-based solutions.
 * Build and optimize Generative AI and LLM-powered applications.
 * Develop Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions.
 * Work with AI agents, autonomous workflows, and intelligent automation.
 * Develop and maintain scalable Python-based applications and APIs.
 * Integrate vector databases, embeddings, and external AI services.
 * Implement model evaluation, monitoring, and performance optimization.
 * Deploy and maintain AI/ML models in production environments.
 * Collaborate with cross-functional engineering and product teams.
 * Follow best practices for AI security, scalability, reliability, and model governance.