AI System Developer I

Jobtailor; Lakewood (CO); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor seeks an AI/ML engineer to support the design, development, and maintenance of AI components in Colorado, under senior developers. You will help implement integrations between LLMs, AI services, and enterprise apps such as internal portals and chatbots.

Learn retrieval augmented generation concepts, assist with data preparation, containerization, and deployment using Kubernetes. Collaboration and clear communication with technical and non‑technical stakeholders are valued.

Qualifications

• Bachelor's degree in CS, ML, DS, or related field.
• 3+ years IT or related experience.
• Foundational knowledge of AI/ML concepts and software engineering practices.
• Proficiency in Python and ML libraries.

Responsibilities

• Support the implementation and maintenance of AI system components including model serving APIs and microservices.
• Assist in integrating LLMs, AI services, and enterprise applications.
• Learn retrieval‑augmented generation concepts including vector stores and knowledge indexes.
• Assist in translating business requirements into technical specs and implementation plans.

Skills

Python

ML concepts

Data concepts

Communication

Education

Bachelor's degree in CS/ML/DS

Tools

Docker

Kubernetes

MLflow

MS Office

Job description

Responsibilities

• Support the implementation and maintenance of AI system components including model serving APIs, inference pipelines, and microservices under the direction of senior developers.
• Assist in implementing integrations between LLMs, AI services, and enterprise applications including internal portals, chatbots, and workflow automation platforms.
• Learn and apply retrieval‑augmented generation (RAG) concepts including vector stores and knowledge indexes under the guidance of senior team members.
• Assist in translating business requirements into technical specifications, flow diagrams, and implementation plans with supervision.
• Leverage AI‑assisted development tools to support Rapid Application Development (RAD) including generating code scaffolding, templates, unit‑test stubs, and documentation under established guidelines and patterns.
• Support data preparation activities in collaboration with Data & Analytics; assist in ensuring data quality, lineage, and appropriate transformations for AI‑ready datasets.
• Assist in packaging AI components using containerization (Docker) and support deployment automation activities (Kubernetes, serverless patterns) under direction.
• Support CI/CD pipeline activities for model and service delivery; learn and apply model versioning and model registry practices (MLflow, model registry) under supervision.
• Apply company AI governance guardrails under direction: data minimization, PII handling, prompt filtering, content moderation, and privacy and security best practices; support collaboration with Legal, Compliance, and Security as needed.
• Write unit and integration tests for AI components and APIs under supervision; participate in release planning, deployment verification, and post‑deployment monitoring; assist in troubleshooting production issues and documenting findings; maintain technical documentation, runbooks, and user guides as assigned; provide on‑call support as required.
• Keep current with LLM, generative AI, and MLOps best practices; learn and apply reusable patterns, templates, and components from the Center of Excellence knowledge base.
• Work effectively across multi‑disciplinary teams and present technical details to non‑technical stakeholders.
• Collaborate with a variety of people with tact, courtesy, and professionalism.
• Maintain regular, dependable attendance and a high level of performance.
• Maintain a high regard for personal safety, the safety of company assets and employees, and the general public.
• Other daily, weekly, monthly, or special projects may be assigned.

Qualifications

• Bachelor's degree from an accredited institution in Computer Science, Machine Learning, Data Science, Software Engineering, Information Systems, Business Management, or a related discipline. Degrees in Artificial Intelligence or Machine Learning are welcomed and applicable.
• A minimum of three (3) years of direct work experience in IT or a related discipline may be considered as a substitute for a degree.
• Minimum of zero (0) to two (2) years of overall IT experience; recent graduates with relevant academic project experience or internships will be considered.
• Foundational experience or academic exposure to system development, AI/ML concepts, or software engineering practices.
• Foundational development experience in modern software engineering languages and environments; exposure to Python and common ML/AI libraries and frameworks preferred.
• Exposure to or coursework in the full product development life cycle.
• Basic SQL skills and foundational understanding of data concepts and structures.
• Exposure to reporting tools and the ability to assist in developing and maintaining operational reports.
• Foundational experience or coursework in application development using web frameworks, microservices, or equivalent technology.
• Ability to communicate technical and business issues clearly to both technical and non‑technical audiences with supervision.
• Ability to manage assigned tasks and priorities with regular supervision and guidance.
• Proficiency in MS Office applications including but not limited to Excel, Word, PowerPoint, and Outlook.
• Must possess and maintain a valid driver's license and a driving record satisfactory to the company and its insurers (for travel).

Core Competencies

Demonstrates foundational experience in AI system components, model serving APIs, and microservices, with a strong understanding of AI/ML concepts and software engineering practices. Proficient in data preparation, CI/CD pipeline activities, and effective communication with both technical and non‑technical stakeholders.

Tools & Technologies

• Docker
• Kubernetes
• MLflow
• MS Office