AI System Developer III
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+15 more
Job description
This is a strong opportunity for an experienced AI developer who enjoys building production-ready solutions with modern AI tools, enterprise integrations, and advanced microservices. You’ll play a key role in designing and delivering impactful AI-enabled systems while helping shape reusable patterns within a growing Center of Excellence., * Design and build RAG solutions, including vector stores and retrieval tuning
- Develop multi-agent workflows and agentic call flows
- Support LLM fine-tuning and domain adaptation efforts
- Build and maintain AI services, APIs, and microservices
- Integrate AI tools with enterprise applications and workflows
- Apply AI security controls, including PII handling and output validation
- Contribute to CI/CD, Docker, Kubernetes, and MLflow workflows
- Write tests, troubleshoot issues, and support production deployments
- Mentor junior developers through code review and technical guidance
- Create documentation, runbooks, and reusable technical assets
Requirements
- Bachelor’s degree or equivalent relevant IT experience
- 4+ years of recent system development experience with AI/ML components
- 4+ years of development experience in modern software environments
- Strong proficiency in Python and common AI/ML frameworks
- Hands-on experience deploying LLMs in production environments
- Experience building RAG solutions and retrieval pipelines
- Experience with agentic or multi-agent systems
- Background in SQL and enterprise application development
- Experience with Microsoft .NET or similar web and microservices technologies
- Ability to communicate technical concepts clearly across teams
Nice to Have Skills & Experience:
- Experience with LangGraph, LangFlow, GraphRAG, or MCP
- Familiarity with Claude, Cursor, or similar AI development tools
- Experience with fine-tuning or instruction-tuning LLMs
- Knowledge of AI red teaming and adversarial testing
- Cloud platform experience with AWS, Azure, or GCP
- Advanced vector database and hybrid search experience
- Containerization and orchestration experience at scale
- AI or ML certifications from recognized vendors
Benefits & conditions
3.63.6 out of 5 stars Lakewood, CO 80228 Hybrid work $120,000 - $130,000 a year, * This opportunity includes a comprehensive and competitive benefits package-details will be shared during later stages of the hiring process.
- Option to work a 9/80 schedule or have half-day Fridays
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How to Become an AI Engineer
What Are Large Language Models?
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path