AI Enabled Engineer
Role details
Job location
Tech stack
Job description
We are seeking an innovative and experienced AI Enabled Engineer to join our team. The ideal candidate will possess strong software engineering fundamentals and hands-on expertise in developing AI-powered solutions using Python and Java. This role requires experience in designing and building intelligent agents that are focused on enhancing end-user journeys and delivering seamless, personalized experiences.
The candidate will collaborate with cross-functional teams to architect, develop, and deploy scalable AI-driven applications that solve complex business problems and improve customer engagement., * Design, develop, and maintain AI-enabled applications and services using Python and Java.
- Build and deploy intelligent agents, copilots, and automation workflows that optimize end-user journeys.
- Develop, test, and integrate AI/ML models into enterprise applications.
- Collaborate with product managers, designers, and engineering teams to translate business requirements into scalable technical solutions.
- Design and implement APIs, microservices, and backend systems to support AI-powered capabilities.
- Integrate Large Language Models (LLMs), conversational AI frameworks, and third-party AI services into existing platforms.
- Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI systems.
- Ensure security, scalability, and maintainability of AI-enabled solutions.
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What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong programming experience in Python and Java.
- Proven experience in building intelligent agents focused on end-user journeys, including conversational AI, copilots, or autonomous workflows.
- Solid understanding of software engineering principles, object-oriented programming, and system design.
- Experience developing and consuming RESTful APIs and microservices.
- Familiarity with databases, including SQL and NoSQL technologies.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Generative AI, Large Language Models (LLMs), and agentic AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
- Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and Agile development methodologies.
Benefits & conditions
Posted 9 Hours Ago Remote Hiring Remotely in United States 44K-154K Annually Mid level Remote Hiring Remotely in United States 44K-154K Annually Mid level Design, build, and maintain AI-enabled applications and intelligent agents using Python and Java. Integrate LLMs, conversational AI, and ML models into enterprise systems, create APIs and microservices, ensure scalability and security, and collaborate with cross-functional teams to improve end-user journeys. The summary above was generated by AI, Minimum Compensation: USD 44,000 Maximum Compensation: USD 154,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post