> Markdown version of [/jobs/ext/2834423-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2834423-senior-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).

---

# Senior AI Engineer

- **Company:** ITDS, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Applications Architecture, Business Logic, Machine Learning, Language Modeling, Software Tools, Software Safety, Software Engineering, Diagnostic Tools, Large Language Models, Multi-Agent Systems, Caching, Low Latency, Machine Learning Operations
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj25vb4mo2

## About the Role

* 5+ years of software engineering experience, including 2+ years working with production Large Language Models (LLMs).
 * Deep expertise in LLM application architecture: retrieval-augmented generation (RAG), multi-agent orchestration, model routing, and fallback strategies.
 * Proven track record of deploying scalable AI systems with a focus on latency, reliability, and cost management.
 * Strong system design skills with experience in guardrails, caching, and observability for AI pipelines.
 * Practical knowledge of hallucination mitigation and designing safe AI solutions in regulated environments.
 * Advanced proficiency with AI-assisted engineering tools and best practices.
 * Ability to assess build-vs-buy tradeoffs among AI providers and third-party tools.
 * Experience mentoring AI engineers and reviewing technical designs and code.

Nice-to-have:

 * Certifications or experience in AI safety and compliance.
 * Additional knowledge of AI evaluation harnesses and drift detection tools.

Language required for the role:

 * Fluent English, with excellent communication skills.

## Description

As a Senior AI Engineer, you will be working for our client, a global leader in AI innovation dedicated to transforming industries through advanced language models and intelligent automation. You will own the architecture and end-to-end delivery of complex, production-grade AI systems-ranging from AI decisioning logic to multi-step conversational agents-pushing the boundaries of what's possible with large language models. Join us to shape the future of AI technology and accelerate your career in cutting-edge innovation.

Your main responsibilities:

 * Design and implement scalable, reliable AI systems with a focus on latency, cost, and operational efficiency.
 * Develop complex language model architectures, including RAG, tool-calling, and multi-agent orchestration.
 * Build evaluation frameworks to measure model quality, detect regressions, and monitor drift in production environments.
 * Integrate AI/ML models into core business logic, ensuring safety, compliance, and robustness in decision-critical contexts.
 * Engineer solutions for hallucination mitigation and safe-failure in regulated applications.
 * Collaborate with cross-functional teams to review designs, mentor engineers, and promote best practices in AI engineering.
 * Evaluate build-vs-buy options across LLM providers and third-party AI tools to optimize performance and cost.
 * Ensure observability, guardrails, and caching are in place for AI decisioning pipelines.


## Related Videos

- [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer)
- [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster)
- [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load)
- [The Algorithm That Nearly Killed Me: When Testing Isn't Enough](https://www.wearedevelopers.com/videos/2110-the-algorithm-that-nearly-killed-me-when-testing-isn-t-enough)
- [Mastering AI-Driven Problem Solving in Engineering with Observability](https://www.wearedevelopers.com/videos/994-mastering-ai-driven-problem-solving-in-engineering-with-observability)
- [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql)

## 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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)