> Markdown version of [/jobs/ext/3569583-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3569583-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Caci Inc - **Location:** Denver, CO, United States - **Experience:** Experienced - **Salary:** $82,000.0 - $172,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Continuous Integration, Python (Programming Language), Key Management, Machine Learning, Open Source Technology, Performance Tuning, OpenAI, Systems Integration, Web Application Frameworks, Google Cloud, ReactJS, Retrieval-Augmented Generation, Large Language Models, Grafana, Prompt Engineering, Generative AI, Backend, Gitlab, Fastapi, Containerization, Git Flow, Kubernetes, Restful APIs, Terraform - **Published:** October 3, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/ai-engineer/11490337 ## About the Role This role is ideal for engineers who thrive on variety over deep ownership, value making others successful, and want to shape how the Federal Government adopts AI across diverse mission areas., Required: * 3-5 years building production applications with Python/JavaScript, Git workflows, and modern development practices. * Practical experience with LLM-powered apps, agent patterns, RAG, prompt engineering, vector databases, and observability concepts; hands-on experimentation preferred. * Monitor AI performance (latency, cost, quality), address common failure modes, and apply responsible AI practices such as bias detection and guardrails. * Strong background designing, implementing, and troubleshooting RESTful and event-driven integrations. * Experience with AWS/Azure/GCP, containerization, CI/CD, IaC concepts, and secure API/key management. * Understanding of basic ML concepts and how they apply to LLM systems. * Proven ability to deliver solutions quickly in unfamiliar environments with evolving requirements. * Strong communication skills and ability to create clear documentation and teach complex AI concepts. * Ability to make trade-offs under pressure, prioritize working solutions, and leverage reusable templates. * Active user of modern AI tools; stays current through experimentation and community engagement. * Experience with GitLab, Jira, and iterative delivery. * Ability to obtain and maintain a up to a Top Secret clearance. Desired: * Experience deploying agentic AI systems, using observability tools, vector databases, guardrails, embeddings, and structured outputs. * AWS (Bedrock/GovCloud), Azure OpenAI, Kubernetes, Terraform, and CI/CD pipeline experience. * Proficiency in JS/TS/Python for front-end/back-end development and modern frameworks like React or FastAPI. * Experience leading client engagements, context-switching across projects, and delivering strong knowledge transfer. * Familiarity with DoD/federal missions, security requirements, and compliance frameworks (ATO, NIST). * History of open-source work, technical writing, conference speaking, or similar community involvement. * Security+, AWS certifications, or other relevant technical credentials. ## Description * Rapid AI Application Delivery: Deliver production-ready AI solutions in 1-2-month rotations, including RAG pipelines, conversational platforms, and multi-agent systems tailored to each program's mission and tech stack. * GenAI Implementation: Build and customize AI solutions using vector databases, orchestration frameworks, and managed AI services while implementing observability, security, and cost controls. * Integration & Operationalization: Integrate LLM APIs and AI services into existing workflows; apply responsible AI guardrails; configure monitoring/alerting; and resolve integration issues across cloud and on-prem environments. * Knowledge Transfer & Enablement: Lead hands-on training, create documentation, and pair-program with teams to ensure they can independently operate and evolve AI applications. * Solution Catalog Contributions: Improve existing templates, create reusable patterns, and document new techniques based on field experience. * Operational Validation: Confirm teams reach full operational independence through structured handoff and validation processes. * Continuous Learning: Explore emerging GenAI tools, evaluate federal use-case applicability, and share insights through demos and documentation. ## Related Videos - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-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](https://www.wearedevelopers.com/magazine/600-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](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)