About this opportunity
Prodigy Resources lists this Machine Learning Engineer opportunity in denver, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We’re looking for an experienced AI/ML Engineer to design, build, and deploy production-ready AI and machine learning solutions. This role is highly hands-on and focused on taking AI capabilities from concept through production, including generative AI, LLM-powered applications, intelligent automation, and traditional machine learning.
The ideal candidate combines strong software engineering fundamentals with practical experience building AI systems that solve real business problems.
What You’ll Do
Design, build, test, and deploy production-grade AI/ML applications and services
Develop applications using large language models (LLMs) , generative AI, and modern ML techniques
Build RAG pipelines , AI agents, workflow automation, and intelligent search/retrieval solutions
Integrate commercial and open-source models into enterprise applications
Develop and optimize prompts, context management, embeddings, vector search, and model orchestration
Build APIs and backend services that expose AI/ML capabilities to applications and internal systems
Evaluate model and application performance for accuracy, reliability, latency, and cost
Design data pipelines supporting model training, inference, retrieval, and evaluation
Implement appropriate guardrails, monitoring, observability, and security controls for production AI
Work closely with engineering, product, data, and business stakeholders to identify high-value AI use cases
Prototype quickly while maintaining a clear path from proof of concept to scalable production systems
Stay current with rapidly evolving AI models, frameworks, architectures, and development practices
What We’re Looking For
5+ years of professional software engineering, machine learning engineering, or related experience
Strong programming skills in Python
Hands‑on experience building and deploying AI/ML systems in production
Experience working with LLMs and APIs from providers such as OpenAI, Anthropic, Google, or comparable open‑source models
Experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation
Strong understanding of APIs, microservices, distributed systems, and modern application architecture
Experience with ML/AI frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex , or similar technologies
Experience deploying AI/ML workloads in AWS, Azure, or GCP
Familiarity with Docker, CI/CD, Git, and modern DevOps/MLOps practices
Experience working with structured and unstructured data
Strong problem‑solving skills and the ability to translate ambiguous business problems into practical technical solutions
Nice to Have
Experience building agentic AI systems and multi‑step AI
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Worksite address
denver, CO, 80285, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.