Artificial Intelligence Engineer

AMISEQ; 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

Job Summary:

We are seeking a highly skilled and motivated AI Engineer for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Engineer will preprocess and analyze large datasets, implement machine learning and deep learning algorithms, and integrate AI systems into existing applications.

Qualifications:

• Education: Bachelor's or Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred.
• Experience: Minimum of 5 years of experience in AI projects, data science, or a related field.
• Skills:
• Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
• Proficiency in programming languages like Python, .Net, C# and R
• Hands on experience in use of AI frameworks such as Semantic Kernel, LangChain, LangGraph, Crew AI etc.
• Proficiency in Linux/Unix environment (including scripting), Docker, Kubernetes, and related services for model deployments
• Strong understanding of cloud technologies (Azure & AWS), APIs, and microservices.
• Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies.
• Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).
• Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).
• Experience in designing AI Solutions using on premise and Cloud technologies.
• Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.
• Demonstrated ability to manage multiple projects simultaneously and prioritize effectively.
• Strong problem-solving, analytical, and communication skills.
• Knowledge of AI ethics and regulatory compliance frameworks.
• Proficiency with data engineering and cloud architecture principles.

Must-Have Skills

5+ years in AI, data science, or a related field. Build and deploy AI/GenAI solutions, work with language models and Azure Databricks, integrate APIs, and use AI frameworks such as LangGraph, LangChain, or Semantic Kernel. Relevant programming experience (e.g., Python or C#).

Nice-to-Have Skills

Advanced degree preferred.

Minimum Years of Experience

5+ years in AI projects, data science, or a related field.

Domain/Industry Experience Required

Experience automating supply chain, order management, or procurement workflows in a distribution or manufacturing environment preferred. Examples include purchase order processing, invoice processing, or document intake.