> Markdown version of [/jobs/ext/2293131-principal-engineer-ai-agentic-systems](https://www.wearedevelopers.com/jobs/ext/2293131-principal-engineer-ai-agentic-systems). 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).

---

# Principal Engineer - AI Agentic Systems

- **Company:** Signature Aviation
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Frameworks, Computing Platforms, Architectural Patterns, Microsoft Azure, Cloud Engineering, Computer Programming, Customer Data Management, Decision Support Systems, Distributed Systems, Python (Programming Language), OAuth, Role-Based Access Control, Redis, Azure Machine Learning, Software Engineering, TypeScript, Enterprise Data Management, Large Language Models, Grafana, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Information Technology, Operational Systems, Data Management, Machine Learning Operations, GPT
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/c2f37aae-97ae-4564-ab6f-87d70557167e

## About the Role

10-12+ years of experience in software engineering, distributed systems, or AI/ML platform development
Demonstrated experience building and deploying production-grade LLM applications or agent-based AI systems
Strong expertise in cloud-native architecture and scalable platform design
Experience integrating AI systems with enterprise data and operational platforms
Bachelor's degree in Computer Science, Engineering, or a related technical field (advanced degree preferred)

Additional knowledge and skills:

Experience with LLM application frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Experience integrating with foundation models such as OpenAI GPT, Claude, or LLaMA-based systems
Knowledge of vector databases such as Pinecone, Weaviate, or Redis Vector
Strong programming experience with Python and TypeScript
Experience with enterprise AI platforms including Azure AI, AWS Bedrock, or Google Vertex AI
Experience with model lifecycle management and MLOps platforms such as MLflow or Azure ML
Familiarity with AI observability tools such as Langfuse or Weights & Biases
Experience implementing enterprise authentication and security patterns such as OAuth2 and RBAC
Familiarity with pricing optimization systems, operational analytics, or forecasting platforms
Experience in aviation, logistics, mobility, or other large-scale operational environments preferred

## Description

At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Principal Engineer - AI Agentic Systems to design, architect, and implement next-generation AI systems that enable intelligent automation, predictive insights, and autonomous decision-making across the enterprise.

This role will lead the technical design of agentic AI systems that support initiatives such as dynamic pricing for revenue optimization, ramp capacity optimization, predictive revenue and operational forecasting, crew and CRM data enrichment, and automated task orchestration across operational teams. The Principal Engineer will partner closely with AI engineers, data scientists, platform teams, and operational leaders to deliver scalable AI capabilities that improve efficiency, decision-making, and operational performance across Signature's global network.

Responsibilities

Architect scalable agentic AI systems that enable intelligent automation and decision support across enterprise operations

Design and implement AI solutions supporting dynamic pricing and revenue optimization initiatives

Develop predictive systems that improve ramp capacity planning, operational throughput, and workforce utilization

Engineer LLM-powered applications using retrieval-augmented generation (RAG), agent frameworks, and orchestration platforms

Design AI-driven automation solutions that streamline operational workflows and task management

Build and maintain pipelines that enrich enterprise datasets, including crew, customer, and CRM data platforms

Integrate AI capabilities with enterprise platforms and operational systems

Establish engineering standards and architectural patterns for AI and LLM-based application development

Ensure responsible AI implementation, including governance, monitoring, and security considerations

Provide technical leadership, architectural guidance, and mentorship to engineering teams building AI capabilities


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis)
- [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect)
- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)
- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)