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.
Job Summary
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.
Key Responsibilities
- 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.
- Stay current with emerging technologies and industry trends in artificial intelligence and agentic systems.
Required Qualifications
- 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.
Compensation, Benefits and Duration
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
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead Dropbox's unified media strategy across brand and performance. Own full media budget, channel mix, measurement, agency and in-house operating model, AI-enabled workflows, and team leadership. Partner with Growth, Sales, and Marketing Data Science to connect media to revenue through rigorous attribution, incrementality testing, and media mix modeling.
Top Skills:
AffiliateAi-Enabled Media WorkflowsAttribution PlatformsCdpsData GovernanceDisplayIncrementality TestingMarketing AutomationMmm (Media Mix Modeling)MobileMtaPaid SearchPaid SocialProgrammaticTaggingVideo
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Partner with Sales to lead technical discovery, design, demos, and POV/POC deployments for enterprise security and identity exposure management. Advise customers, translate technical capabilities into business outcomes, produce customer-facing documentation and training, support events, and collaborate across Product, Enablement, and Customer Success. Travel typically 25–50%.
Top Skills:
ArmisDnsFirewallsIamIgaIomtIotLinuxNatNetflowNetwork SegmentationNetwork TelemetryOtPacket CapturePacket Capture BrokersPort MirroringPythonRoutingServicenowSpan PortsSubnettingSwitchingTapsVezaVlansVulnerability Management
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead global Sales business operations, manage budgets, dashboards, KPIs, and executive-level special projects. Partner with sales leadership to drive strategy, organizational development, communications, and operational excellence across a matrixed, high-growth environment.
Top Skills:
AI
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
