End-to-End AI/ML Engineer for LLMs, RAG & Agentic Systems

Jobtailor; Colorado; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a hands-on AI/ML Engineer to design and deploy ML models, agentic AI systems, and LLM-based applications. You will translate business challenges into scalable AI solutions aligned with defined success metrics, and develop RAG pipelines, embeddings, and vector search architectures.

Collaborate with engineers and product stakeholders to deliver high-impact AI solutions in a fast-paced startup-like environment, focusing on performance, cost, and reliability.

Qualifications

• 2+ years of relevant experience required.

Responsibilities

• Design and deploy machine learning models, agentic AI systems, and LLM-based applications.
• Translate business challenges into scalable AI solutions aligned with success metrics.
• Develop RAG pipelines, embeddings, and vector search architectures.
• Build agentic workflows, prompt strategies, and orchestration patterns.
• Own AI/ML solutions end to end from design through deployment and operation.
• Evaluate model and agent performance using automated and human-in-the-loop methods.
• Optimize AI systems for latency, cost, scalability, and reliability.
• Support deployment workflows, CI/CD pipelines, containerization, and MLOps practices.
• Design and maintain data, feature, and inference pipelines with validation, lineage, monitoring, and reproducibility.

Skills

Python Programming

ML Deployment

LLM Application Development

MLOps Practices

CI/CD Pipeline Management

Vector Search Architectures

Agentic AI Systems

Embedding Strategies

Feature Engineering

Model Training

Evaluation Methodologies

Data Pipeline Design

Education

Advanced degree in Computer Science or related field

2+ years of relevant experience

Tools

FastAPI

MLflow

Docker

Cloud Platforms

LangChain

LlamaIndex

RAG Systems

CI/CD Tools

Vector Databases

Prompt-Based Workflows

Job description

Jobtailor is seeking a hands-on AI/ML Engineer to design and deploy ML models, agentic AI systems, and LLM-based applications. You will translate business challenges into scalable AI solutions aligned with defined success metrics, and develop RAG pipelines, embeddings, and vector search architectures.

Collaborate with engineers and product stakeholders to deliver high-impact AI solutions in a fast-paced startup-like environment, focusing on performance, cost, and reliability.