Tallgrass · 17 hours ago
AI System Developer II
Lakewood, CO
Full-time
Onsite
Entry, Mid Level
$105K/yr - $120K/yr
2+ years expTallgrass Energy is seeking an AI System Developer II to focus on the design, development, integration, and support of AI-enabled solutions. The role involves delivering production-grade model serving, inference pipelines, and orchestration, while enabling rapid application development through AI-assisted tools.
Energy
Responsibilities
Design, implement, and maintain AI system components: model serving APIs, orchestration (agents/call flows), inference pipelines, and microservices
Implement integrations between LLMs/AI services and enterprise applications (internal portals, chatbots, workflow automation)
Translate business requirements into technical specifications, flow diagrams, and implementation plans
Leverage AI-assisted development tools to accelerate Rapid Application Development (RAD): generate code scaffolding, templates, unit-test stubs, and documentation to speed safe, repeatable delivery
Implement retrieval-augmented generation (RAG) solutions using vector stores and knowledge indexes
Work with Data & Analytics to define, access, and prepare AI-ready datasets; ensure data quality, lineage, and appropriate transformations
Package AI components using containerization (Docker) and support deployment automation (Kubernetes, serverless patterns)
Contribute to CI/CD pipelines for model and service delivery; implement model versioning and model registry practices (MLflow, model registry)
Apply company AI governance guardrails: data minimization, PII handling, prompt filtering, content moderation, and privacy/security best practices
Collaborate with Legal, Compliance, and Security to implement controls needed for regulatory frameworks and internal policy adherence
Build explainability, logging for auditability, and reproducible evaluation artifacts
Write unit, integration, and acceptance tests for AI components and APIs; validate outputs against acceptance criteria
Participate in release planning, deployment verification, and post-deployment monitoring; provide on-call support as required
Troubleshoot production issues, perform root-cause analysis, and implement fixes or mitigations
Create and maintain technical documentation, runbooks, user guides, and API docs for engineers and business users
Support business stakeholders with training, demos, and adoption playbooks (assistant tool usage, agent behaviors)
Contribute to a Center of Excellence knowledge base: patterns, templates, and reusable components to accelerate RAD and cross-team reuse
Keep current with LLM, generative AI, and MLOps best practices; recommend improvements and reusable patterns (playbooks, agent templates)
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
Qualification
Required
Bachelor's degree from an accredited institution in Computer Science, Machine Learning, Data Science, Software Engineering, Information Systems, Business Management, or a related discipline
A minimum of five (5) years direct work experience in IT or a related discipline may be considered as a substitute for a degree
Minimum of two (2) years overall IT experience
Minimum of two (2) years recent experience focusing on system development, support, implementation and upgrades (preferably with AI/ML components)
Minimum of two (2) years development experience in modern software engineering languages and environments; strong preference for experience with Python and common ML/AI libraries and frameworks
Experience in the full product development life cycle
Established SQL skills in MS SQL and/or Oracle databases and working knowledge of data engineering patterns
Experience with reporting tools and the ability to develop and maintain operational and audit reports
Experience in an application development environment using web frameworks, microservices, Microsoft .NET or equivalent technology
Experience in effectively communicating business and technical issues to both technical and non-technical audiences
Experience in working on multiple assignments during the same time frame juggling tasks based on relative priorities with supervision commensurate with grade level
Advanced proficiency level in MS Office applications that may include but are not limited to Excel, Word, Access, 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)
Ability to work independently with minimal supervision and collaboratively in a team environment; share knowledge and accept direction from management
Ability to manage multiple tasks and competing priorities under strict deadlines; organize work and use time efficiently
Deliver excellent customer service and maintain professional relationships across all levels of the organization
Demonstrated ability to communicate clearly, both verbally and in writing, technical and systems requirements to both technical and non-technical stakeholders
Use analytical and technical understanding of systems to diagnose problems and identify efficient, practical solutions
Demonstrate strong attention to detail, reliability, and adherence to work schedules and policies
Able to perform the essential functions of the position
Preferred
Application Developer certification(s) such as MCSD, OCP/M/E, CSD, etc. preferred
Preferred AI/ML certifications or training (vendor or community) advantageous
Hands-on experience deploying LLMs (open-source or API-based) in production
Experience with orchestration libraries and frameworks for building agentic or multi-step call flows
Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud ML services
Experience implementing security controls for models and data (PII handling, redaction, encryption)
Experience with vector databases and RAG implementations
Experience with containerization and orchestration or cloud-managed equivalents
Strong Python proficiency and experience with machine learning libraries and toolkits; familiarity with LLM toolkits and ecosystems preferred
Company
Tallgrass
Tallgrass is a leading energy infrastructure company focused on safely and reliably delivering energy.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$2.74BKey Investors
CPP InvestmentsBlackstone Group
2024-08-13Private Equity· $843M
2024-07-10Secondary Market· $1.1B
2024-01-17Debt Financing· $800M
Leadership Team
Sally Sun
VP of International Business Development
Recent News
2026-01-11
2025-11-11
Company data provided by crunchbase