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Artificial Intelligence Engineer

  • Artificial Intelligence Engineer job type Posted on: Nov 04, 2026
  • Artificial Intelligence Engineer experience level AMISEQ
  • Artificial Intelligence Engineer employment type Englewood, Colorado
  • Artificial Intelligence Engineer employment type Onsite
  • Artificial Intelligence Engineer salary Full-time

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Job Title :

Artificial Intelligence Engineer

Job Type :

Full-Time

Job Location :

Englewood Colorado United States

Remote :

No

Jobcon Logo 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 RHands 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 deploymentsStrong 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 Skills5+ 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 SkillsAdvanced degree preferred.Minimum Years of Experience5+ years in AI projects, data science, or a related field.Domain/Industry Experience RequiredExperience 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.Certifications required/must haveNone specified.

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4487043582

Employment:

Full-time

City:

Englewood

Job Origin:

APPCAST_CPC

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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 RHands 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 deploymentsStrong 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 Skills5+ 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 SkillsAdvanced degree preferred.Minimum Years of Experience5+ years in AI projects, data science, or a related field.Domain/Industry Experience RequiredExperience 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.Certifications required/must haveNone specified.

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