Senior AI Engineer — GenAI, ML & NLP Solutions

Amiseq Inc.; Englewood (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Amiseq Inc. is seeking a highly skilled AI Engineer to design, develop, and implement AI solutions across the organization. The role focuses on GenAI, ML, NLP, computer vision, and predictive analytics to solve business problems and drive innovation.

You will preprocess large datasets, implement ML/DL algorithms, and integrate AI systems with existing applications while leveraging cloud and on-premise architectures.

Qualifications

• Education and advanced degrees as listed.
• Minimum 5 years in AI projects or data science.
• Expertise in AI/GenAI tech and related frameworks.
• Proficiency in Python and C# (and possibly .Net).
• Hands-on with AI frameworks: Semantic Kernel, LangChain, LangGraph, Crew AI, etc.
• Proficient in Linux/Unix, Docker, Kubernetes for model deployment.
• Strong cloud skills (Azure & AWS), APIs, and microservices.
• Proven project management in AI/ML/data-driven domains.
• Experience with big data tools (Hadoop, Spark).
• Experience with AI development platforms (Azure AI Foundry, Ollama, DataBricks).
• Experience designing AI solutions on prem and cloud.
• Familiar with Agile tools (Jira, Trello) for project mgmt.
• Ability to manage multiple projects and priorities.
• Strong problem-solving, communication, and analytical skills.
• Knowledge of AI ethics and regulatory compliance.
• Proficiency in data engineering and cloud architecture.

Skills

5+ years in AI/Data science

AI/GenAI development

LangChain

LangGraph

Semantic Kernel

Python

C#

Azure Databricks

APIs integration

Education

Bachelor's/Master's/PhD in CS/AI/Data Science or related

Tools

Linux/Unix

Docker

Kubernetes

Jira

Trello

Azure

AWS

DataBricks

Ollama

Job description

Amiseq Inc. is seeking a highly skilled AI Engineer to design, develop, and implement AI solutions across the organization. The role focuses on GenAI, ML, NLP, computer vision, and predictive analytics to solve business problems and drive innovation.

You will preprocess large datasets, implement ML/DL algorithms, and integrate AI systems with existing applications while leveraging cloud and on-premise architectures.